Mock Version: 5.0
ENTER ['do_with_status'](['bash', '--login', '-c', '/usr/bin/rpmbuild -bs  --target x86_64 --nodeps /builddir/build/SPECS/R-CRAN-qpmadr.spec'], chrootPath='/var/lib/mock/fedora-39-x86_64-1692141428.832260/root'env={'TERM': 'vt100', 'SHELL': '/bin/bash', 'HOME': '/builddir', 'HOSTNAME': 'mock', 'PATH': '/usr/bin:/bin:/usr/sbin:/sbin', 'PROMPT_COMMAND': 'printf "\\033]0;<mock-chroot>\\007"', 'PS1': '<mock-chroot> \\s-\\v\\$ ', 'LANG': 'C.UTF-8'}shell=Falselogger=<mockbuild.trace_decorator.getLog object at 0x7fef15603fd0>timeout=0uid=1000gid=135user='mockbuild'nspawn_args=['--capability=cap_ipc_lock', '--rlimit=RLIMIT_NOFILE=10240', '--capability=cap_ipc_lock', '--bind=/tmp/mock-resolv.fmkb5_pz:/etc/resolv.conf', '--bind=/dev/btrfs-control', '--bind=/dev/mapper/control', '--bind=/dev/fuse', '--bind=/dev/loop-control', '--bind=/dev/loop0', '--bind=/dev/loop1', '--bind=/dev/loop2', '--bind=/dev/loop3', '--bind=/dev/loop4', '--bind=/dev/loop5', '--bind=/dev/loop6', '--bind=/dev/loop7', '--bind=/dev/loop8', '--bind=/dev/loop9', '--bind=/dev/loop10', '--bind=/dev/loop11']unshare_net=TrueprintOutput=True)
Using nspawn with args ['--capability=cap_ipc_lock', '--rlimit=RLIMIT_NOFILE=10240', '--capability=cap_ipc_lock', '--bind=/tmp/mock-resolv.fmkb5_pz:/etc/resolv.conf', '--bind=/dev/btrfs-control', '--bind=/dev/mapper/control', '--bind=/dev/fuse', '--bind=/dev/loop-control', '--bind=/dev/loop0', '--bind=/dev/loop1', '--bind=/dev/loop2', '--bind=/dev/loop3', '--bind=/dev/loop4', '--bind=/dev/loop5', '--bind=/dev/loop6', '--bind=/dev/loop7', '--bind=/dev/loop8', '--bind=/dev/loop9', '--bind=/dev/loop10', '--bind=/dev/loop11']
Executing command: ['/usr/bin/systemd-nspawn', '-q', '-M', '313657e9d86e4056a2f14c88cfc89ddd', '-D', '/var/lib/mock/fedora-39-x86_64-1692141428.832260/root', '-a', '-u', 'mockbuild', '--capability=cap_ipc_lock', '--rlimit=RLIMIT_NOFILE=10240', '--capability=cap_ipc_lock', '--bind=/tmp/mock-resolv.fmkb5_pz:/etc/resolv.conf', '--bind=/dev/btrfs-control', '--bind=/dev/mapper/control', '--bind=/dev/fuse', '--bind=/dev/loop-control', '--bind=/dev/loop0', '--bind=/dev/loop1', '--bind=/dev/loop2', '--bind=/dev/loop3', '--bind=/dev/loop4', '--bind=/dev/loop5', '--bind=/dev/loop6', '--bind=/dev/loop7', '--bind=/dev/loop8', '--bind=/dev/loop9', '--bind=/dev/loop10', '--bind=/dev/loop11', '--console=pipe', '--setenv=TERM=vt100', '--setenv=SHELL=/bin/bash', '--setenv=HOME=/builddir', '--setenv=HOSTNAME=mock', '--setenv=PATH=/usr/bin:/bin:/usr/sbin:/sbin', '--setenv=PROMPT_COMMAND=printf "\\033]0;<mock-chroot>\\007"', '--setenv=PS1=<mock-chroot> \\s-\\v\\$ ', '--setenv=LANG=C.UTF-8', '--resolv-conf=off', 'bash', '--login', '-c', '/usr/bin/rpmbuild -bs  --target x86_64 --nodeps /builddir/build/SPECS/R-CRAN-qpmadr.spec'] with env {'TERM': 'vt100', 'SHELL': '/bin/bash', 'HOME': '/builddir', 'HOSTNAME': 'mock', 'PATH': '/usr/bin:/bin:/usr/sbin:/sbin', 'PROMPT_COMMAND': 'printf "\\033]0;<mock-chroot>\\007"', 'PS1': '<mock-chroot> \\s-\\v\\$ ', 'LANG': 'C.UTF-8', 'SYSTEMD_NSPAWN_TMPFS_TMP': '0', 'SYSTEMD_SECCOMP': '0'} and shell False
warning: source_date_epoch_from_changelog set but %changelog is missing
Building target platforms: x86_64
Building for target x86_64
Wrote: /builddir/build/SRPMS/R-CRAN-qpmadr-1.1.0.0-1.fc39.copr6288019.src.rpm
RPM build warnings:
    source_date_epoch_from_changelog set but %changelog is missing
Child return code was: 0
ENTER ['do_with_status'](['bash', '--login', '-c', '/usr/bin/rpmbuild -bb  --target x86_64 --nodeps /builddir/build/SPECS/R-CRAN-qpmadr.spec'], chrootPath='/var/lib/mock/fedora-39-x86_64-1692141428.832260/root'env={'TERM': 'vt100', 'SHELL': '/bin/bash', 'HOME': '/builddir', 'HOSTNAME': 'mock', 'PATH': '/usr/bin:/bin:/usr/sbin:/sbin', 'PROMPT_COMMAND': 'printf "\\033]0;<mock-chroot>\\007"', 'PS1': '<mock-chroot> \\s-\\v\\$ ', 'LANG': 'C.UTF-8'}shell=Falselogger=<mockbuild.trace_decorator.getLog object at 0x7fef15603fd0>timeout=0uid=1000gid=135user='mockbuild'nspawn_args=['--capability=cap_ipc_lock', '--rlimit=RLIMIT_NOFILE=10240', '--capability=cap_ipc_lock', '--bind=/tmp/mock-resolv.fmkb5_pz:/etc/resolv.conf', '--bind=/dev/btrfs-control', '--bind=/dev/mapper/control', '--bind=/dev/fuse', '--bind=/dev/loop-control', '--bind=/dev/loop0', '--bind=/dev/loop1', '--bind=/dev/loop2', '--bind=/dev/loop3', '--bind=/dev/loop4', '--bind=/dev/loop5', '--bind=/dev/loop6', '--bind=/dev/loop7', '--bind=/dev/loop8', '--bind=/dev/loop9', '--bind=/dev/loop10', '--bind=/dev/loop11']unshare_net=TrueprintOutput=True)
Using nspawn with args ['--capability=cap_ipc_lock', '--rlimit=RLIMIT_NOFILE=10240', '--capability=cap_ipc_lock', '--bind=/tmp/mock-resolv.fmkb5_pz:/etc/resolv.conf', '--bind=/dev/btrfs-control', '--bind=/dev/mapper/control', '--bind=/dev/fuse', '--bind=/dev/loop-control', '--bind=/dev/loop0', '--bind=/dev/loop1', '--bind=/dev/loop2', '--bind=/dev/loop3', '--bind=/dev/loop4', '--bind=/dev/loop5', '--bind=/dev/loop6', '--bind=/dev/loop7', '--bind=/dev/loop8', '--bind=/dev/loop9', '--bind=/dev/loop10', '--bind=/dev/loop11']
Executing command: ['/usr/bin/systemd-nspawn', '-q', '-M', 'f1c70bf778d2488e8f1d1305a32cf383', '-D', '/var/lib/mock/fedora-39-x86_64-1692141428.832260/root', '-a', '-u', 'mockbuild', '--capability=cap_ipc_lock', '--rlimit=RLIMIT_NOFILE=10240', '--capability=cap_ipc_lock', '--bind=/tmp/mock-resolv.fmkb5_pz:/etc/resolv.conf', '--bind=/dev/btrfs-control', '--bind=/dev/mapper/control', '--bind=/dev/fuse', '--bind=/dev/loop-control', '--bind=/dev/loop0', '--bind=/dev/loop1', '--bind=/dev/loop2', '--bind=/dev/loop3', '--bind=/dev/loop4', '--bind=/dev/loop5', '--bind=/dev/loop6', '--bind=/dev/loop7', '--bind=/dev/loop8', '--bind=/dev/loop9', '--bind=/dev/loop10', '--bind=/dev/loop11', '--console=pipe', '--setenv=TERM=vt100', '--setenv=SHELL=/bin/bash', '--setenv=HOME=/builddir', '--setenv=HOSTNAME=mock', '--setenv=PATH=/usr/bin:/bin:/usr/sbin:/sbin', '--setenv=PROMPT_COMMAND=printf "\\033]0;<mock-chroot>\\007"', '--setenv=PS1=<mock-chroot> \\s-\\v\\$ ', '--setenv=LANG=C.UTF-8', '--resolv-conf=off', 'bash', '--login', '-c', '/usr/bin/rpmbuild -bb  --target x86_64 --nodeps /builddir/build/SPECS/R-CRAN-qpmadr.spec'] with env {'TERM': 'vt100', 'SHELL': '/bin/bash', 'HOME': '/builddir', 'HOSTNAME': 'mock', 'PATH': '/usr/bin:/bin:/usr/sbin:/sbin', 'PROMPT_COMMAND': 'printf "\\033]0;<mock-chroot>\\007"', 'PS1': '<mock-chroot> \\s-\\v\\$ ', 'LANG': 'C.UTF-8', 'SYSTEMD_NSPAWN_TMPFS_TMP': '0', 'SYSTEMD_SECCOMP': '0'} and shell False
warning: source_date_epoch_from_changelog set but %changelog is missing
Building target platforms: x86_64
Building for target x86_64
Executing(%prep): /bin/sh -e /var/tmp/rpm-tmp.0P2vQu
+ umask 022
+ cd /builddir/build/BUILD
+ cd /builddir/build/BUILD
+ rm -rf qpmadr
+ /usr/bin/mkdir -p qpmadr
+ cd qpmadr
+ /usr/lib/rpm/rpmuncompress -x /builddir/build/SOURCES/qpmadr_1.1.0-0.tar.gz
+ STATUS=0
+ '[' 0 -ne 0 ']'
+ rm -rf /builddir/build/BUILD/qpmadr-SPECPARTS
+ /usr/bin/mkdir -p /builddir/build/BUILD/qpmadr-SPECPARTS
+ /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w .
+ find -type f -executable -exec grep -Iq . '{}' ';' -exec sed -i -e '$a\' '{}' ';'
+ '[' -d qpmadr/src ']'
+ find qpmadr/src -type f -exec sed -i s@/usr/bin/strip@/usr/bin/true@g '{}' ';'
+ find -type f -executable -exec sed -Ei 's@#!( )*/usr/local/bin@#!/usr/bin@g' '{}' ';'
+ RPM_EC=0
++ jobs -p
+ exit 0
Executing(%build): /bin/sh -e /var/tmp/rpm-tmp.Og55L2
+ umask 022
+ cd /builddir/build/BUILD
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64   -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ export CFLAGS
+ CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64   -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ export CXXFLAGS
+ FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64   -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ export FFLAGS
+ FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64   -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ export FCFLAGS
+ VALAFLAGS=-g
+ export VALAFLAGS
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cforce-frame-pointers=yes -Clink-arg=-Wl,-z,relro -Clink-arg=-Wl,-z,now -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn'
+ export RUSTFLAGS
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed  -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes '
+ export LDFLAGS
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ export LT_SYS_LIBRARY_PATH
+ CC=gcc
+ export CC
+ CXX=g++
+ export CXX
+ cd qpmadr
+ RPM_EC=0
++ jobs -p
+ exit 0
Executing(%install): /bin/sh -e /var/tmp/rpm-tmp.R49ef2
+ umask 022
+ cd /builddir/build/BUILD
+ '[' /builddir/build/BUILDROOT/R-CRAN-qpmadr-1.1.0.0-1.fc39.copr6288019.x86_64 '!=' / ']'
+ rm -rf /builddir/build/BUILDROOT/R-CRAN-qpmadr-1.1.0.0-1.fc39.copr6288019.x86_64
++ dirname /builddir/build/BUILDROOT/R-CRAN-qpmadr-1.1.0.0-1.fc39.copr6288019.x86_64
+ mkdir -p /builddir/build/BUILDROOT
+ mkdir /builddir/build/BUILDROOT/R-CRAN-qpmadr-1.1.0.0-1.fc39.copr6288019.x86_64
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64   -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ export CFLAGS
+ CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64   -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ export CXXFLAGS
+ FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64   -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ export FFLAGS
+ FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64   -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ export FCFLAGS
+ VALAFLAGS=-g
+ export VALAFLAGS
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cforce-frame-pointers=yes -Clink-arg=-Wl,-z,relro -Clink-arg=-Wl,-z,now -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn'
+ export RUSTFLAGS
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed  -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes '
+ export LDFLAGS
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ export LT_SYS_LIBRARY_PATH
+ CC=gcc
+ export CC
+ CXX=g++
+ export CXX
+ cd qpmadr
+ mkdir -p /builddir/build/BUILDROOT/R-CRAN-qpmadr-1.1.0.0-1.fc39.copr6288019.x86_64/usr/local/lib/R/library
+ /usr/bin/R CMD INSTALL -l /builddir/build/BUILDROOT/R-CRAN-qpmadr-1.1.0.0-1.fc39.copr6288019.x86_64/usr/local/lib/R/library qpmadr
* installing *source* package 'qpmadr' ...
** package 'qpmadr' successfully unpacked and MD5 sums checked
** using staged installation
** libs
using C++ compiler: 'g++ (GCC) 13.2.1 20230728 (Red Hat 13.2.1-1)'
using C++11
g++ -std=gnu++11 -I"/usr/include/R" -DNDEBUG -I../inst/include/ -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include    -fpic  -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64   -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer   -c RcppExports.cpp -o RcppExports.o
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:397,
                 from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from RcppExports.cpp:4:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes]
   60 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes]
   62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  161 | template<> struct unpacket_traits<Packet4f> { typedef float  type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; };
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  162 | template<> struct unpacket_traits<Packet2d> { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; };
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__m128i'} [-Wignored-attributes]
  163 | template<> struct unpacket_traits<Packet4i> { typedef int    type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; };
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  718 | struct palign_impl<Offset,Packet4f>
      |                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__m128i'} [-Wignored-attributes]
  741 | struct palign_impl<Offset,Packet4i>
      |                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  764 | struct palign_impl<Offset,Packet2d>
      |                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  778 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  783 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__m128i'} [-Wignored-attributes]
  790 | ptranspose(PacketBlock<Packet4i,4>& kernel) {
      |                                  ^
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:377:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:370:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:439:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from 'class Eigen::Quaternion<float>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from 'class Eigen::Quaternion<double>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:31:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<int, -1>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<int, -1, 1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, 1>'
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) long long int>::half' {aka '__m128i'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 3>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<int, -1, 1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<int, -1, 1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, 1>'
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 3>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<int, -1, 1>, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<int, -1, 1> >'
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 3>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<int, -1, -1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<int, -1, -1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, -1>'
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
/usr/local/lib/R/library/Rcpp/include/Rcpp/InputParameter.h:51:11:   required from 'class Rcpp::ReferenceInputParameter<Eigen::Matrix<double, -1, -1> >'
RcppExports.cpp:15:68:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
/usr/local/lib/R/library/Rcpp/include/Rcpp/InputParameter.h:51:11:   required from 'class Rcpp::ReferenceInputParameter<Eigen::Matrix<double, -1, -1> >'
RcppExports.cpp:15:68:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
/usr/local/lib/R/library/Rcpp/include/Rcpp/InputParameter.h:77:11:   required from 'class Rcpp::ConstReferenceInputParameter<Eigen::Matrix<double, -1, 1> >'
RcppExports.cpp:16:74:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
g++ -std=gnu++11 -I"/usr/include/R" -DNDEBUG -I../inst/include/ -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include    -fpic  -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64   -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer   -c qpmad_interface.cpp -o qpmad_interface.o
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:397,
                 from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:30,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25,
                 from qpmad_interface.cpp:2:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes]
   60 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes]
   62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  161 | template<> struct unpacket_traits<Packet4f> { typedef float  type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; };
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  162 | template<> struct unpacket_traits<Packet2d> { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; };
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__m128i'} [-Wignored-attributes]
  163 | template<> struct unpacket_traits<Packet4i> { typedef int    type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; };
      |                                           ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  718 | struct palign_impl<Offset,Packet4f>
      |                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__m128i'} [-Wignored-attributes]
  741 | struct palign_impl<Offset,Packet4i>
      |                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  764 | struct palign_impl<Offset,Packet2d>
      |                                   ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  778 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  783 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4i' {aka '__m128i'} [-Wignored-attributes]
  790 | ptranspose(PacketBlock<Packet4i,4>& kernel) {
      |                                  ^
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:377:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   15 |   template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
      |                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   22 |   template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
      |                                                                      ^
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:370:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:439:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from 'class Eigen::Quaternion<float>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:243:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7:   required from 'class Eigen::Quaternion<double>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37,
                 from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26,
                 from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:31:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<int, -1>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<int, -1, 1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, 1>'
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) long long int>::half' {aka '__m128i'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, 1>, 3>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<int, -1, 1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<int, -1, 1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, 1>'
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> >, 3>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<int, -1, 1> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<int, -1, 1>, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<int, -1, 1> >'
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<int, -1, -1>, 3>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<int, -1, -1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<int, -1, -1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<int, -1, -1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<int, -1, -1>'
/usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<int>::type' {aka '__m128i'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
../inst/include/qpmad/solver.h:269:64:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
../inst/include/qpmad/solver.h:269:64:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 3>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 0>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:193:76:   required from 'class Eigen::Ref<Eigen::Matrix<double, -1, -1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:61:39:   required from 'class Eigen::LLT<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1>'
../inst/include/qpmad/solver.h:270:21:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
qpmad_interface.cpp:26:21:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, 1>; Scalar = double]'
qpmad_interface.cpp:27:16:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:896:8:   required from 'struct Eigen::internal::evaluator<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:937:71:   required from 'struct Eigen::internal::evaluator<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from 'struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >::match<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:200:101:   required by substitution of 'template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, -1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
../inst/include/qpmad/solver.h:269:81:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >'
../inst/include/qpmad/solver.h:280:82:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >'
../inst/include/qpmad/solver.h:280:81:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >'
../inst/include/qpmad/solver.h:281:36:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0, 7>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>'
../inst/include/qpmad/solver.h:290:114:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0, 7>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0>'
../inst/include/qpmad/solver.h:291:86:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 1, -1, false, true>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>'
../inst/include/qpmad/solver.h:354:62:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, 1>, 0, 6>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>'
../inst/include/qpmad/solver.h:354:102:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 1>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, 1>, 0, 6>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>'
../inst/include/qpmad/solver.h:354:102:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >'
../inst/include/qpmad/solver.h:389:69:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >'
../inst/include/qpmad/solver.h:389:69:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, 1>, -1, 1, false, true>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>'
../inst/include/qpmad/solver.h:525:38:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
../inst/include/qpmad/solver.h:527:33:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:236:8:   required from 'struct Eigen::internal::evaluator<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:96:8:   required from 'struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>, 6, Eigen::DenseShape, Eigen::DenseShape, double, double>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from 'struct Eigen::internal::evaluator<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, 1>, 0> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
../inst/include/qpmad/solver.h:354:55:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, -1, 1, true, true>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>'
../inst/include/qpmad/factorization_data.h:152:18:   required from 'void qpmad::FactorizationData<t_Scalar, t_primal_size>::computeEqualityPrimalStep(t_VectorType&, qpmad::MatrixIndex, qpmad::MatrixIndex) [with t_VectorType = Eigen::Matrix<double, -1, 1>; t_Scalar = double; int t_primal_size = -1; qpmad::MatrixIndex = long int]'
../inst/include/qpmad/solver.h:368:74:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Matrix<double, -1, -1>, 1, -1, false, true>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>'
../inst/include/qpmad/factorization_data.h:152:51:   required from 'void qpmad::FactorizationData<t_Scalar, t_primal_size>::computeEqualityPrimalStep(t_VectorType&, qpmad::MatrixIndex, qpmad::MatrixIndex) [with t_VectorType = Eigen::Matrix<double, -1, 1>; t_Scalar = double; int t_primal_size = -1; qpmad::MatrixIndex = long int]'
../inst/include/qpmad/solver.h:368:74:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 3>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
../inst/include/qpmad/factorization_data.h:152:81:   required from 'void qpmad::FactorizationData<t_Scalar, t_primal_size>::computeEqualityPrimalStep(t_VectorType&, qpmad::MatrixIndex, qpmad::MatrixIndex) [with t_VectorType = Eigen::Matrix<double, -1, 1>; t_Scalar = double; int t_primal_size = -1; qpmad::MatrixIndex = long int]'
../inst/include/qpmad/solver.h:368:74:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
../inst/include/qpmad/factorization_data.h:165:85:   required from 'void qpmad::FactorizationData<t_Scalar, t_primal_size>::computeEqualityPrimalStep(t_VectorType&, const t_RowVectorType&, qpmad::MatrixIndex) [with t_VectorType = Eigen::Matrix<double, -1, 1>; t_RowVectorType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; t_Scalar = double; int t_primal_size = -1; qpmad::MatrixIndex = long int]'
../inst/include/qpmad/solver.h:374:74:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 7>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>'
../inst/include/qpmad/factorization_data.h:165:70:   required from 'void qpmad::FactorizationData<t_Scalar, t_primal_size>::computeEqualityPrimalStep(t_VectorType&, const t_RowVectorType&, qpmad::MatrixIndex) [with t_VectorType = Eigen::Matrix<double, -1, 1>; t_RowVectorType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; t_Scalar = double; int t_primal_size = -1; qpmad::MatrixIndex = long int]'
../inst/include/qpmad/solver.h:374:74:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, 7>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>'
../inst/include/qpmad/solver.h:703:55:   required from 'void qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::chooseConstraint(const t_Primal&, const t_LowerBounds&, const t_UpperBounds&, const t_Constraints&, const t_ConstraintsLowerBounds&, const t_ConstraintsUpperBounds&, double) [with t_Primal = Eigen::Matrix<double, -1, 1>; t_LowerBounds = Eigen::Matrix<double, -1, 1>; t_UpperBounds = Eigen::Matrix<double, -1, 1>; t_Constraints = Eigen::Matrix<double, -1, -1>; t_ConstraintsLowerBounds = Eigen::Matrix<double, -1, 1>; t_ConstraintsUpperBounds = Eigen::Matrix<double, -1, 1>; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1]'
../inst/include/qpmad/solver.h:425:29:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
../inst/include/qpmad/factorization_data.h:190:47:   required from 'void qpmad::FactorizationData<t_Scalar, t_primal_size>::computeInequalityDualStep(t_VectorType&, const qpmad::ChosenConstraint&, const t_MatrixType&, const t_ActiveSet&) [with t_VectorType = Eigen::Matrix<double, -1, 1>; t_MatrixType = Eigen::Matrix<double, -1, -1>; t_ActiveSet = qpmad::ActiveSet<-1>; t_Scalar = double; int t_primal_size = -1]'
../inst/include/qpmad/solver.h:446:62:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
../inst/include/qpmad/factorization_data.h:208:29:   required from 'void qpmad::FactorizationData<t_Scalar, t_primal_size>::computeInequalityDualStep(t_VectorType&, const qpmad::ChosenConstraint&, const t_MatrixType&, const t_ActiveSet&) [with t_VectorType = Eigen::Matrix<double, -1, 1>; t_MatrixType = Eigen::Matrix<double, -1, -1>; t_ActiveSet = qpmad::ActiveSet<-1>; t_Scalar = double; int t_primal_size = -1]'
../inst/include/qpmad/solver.h:446:62:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 7>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>'
../inst/include/qpmad/factorization_data.h:208:52:   required from 'void qpmad::FactorizationData<t_Scalar, t_primal_size>::computeInequalityDualStep(t_VectorType&, const qpmad::ChosenConstraint&, const t_MatrixType&, const t_ActiveSet&) [with t_VectorType = Eigen::Matrix<double, -1, 1>; t_MatrixType = Eigen::Matrix<double, -1, -1>; t_ActiveSet = qpmad::ActiveSet<-1>; t_Scalar = double; int t_primal_size = -1]'
../inst/include/qpmad/solver.h:446:62:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1>'
../inst/include/qpmad/factorization_data.h:138:37:   required from 'void qpmad::FactorizationData<t_Scalar, t_primal_size>::downdate(qpmad::MatrixIndex, qpmad::MatrixIndex) [with t_Scalar = double; int t_primal_size = -1; qpmad::MatrixIndex = long int]'
../inst/include/qpmad/solver.h:546:57:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
../inst/include/qpmad/factorization_data.h:228:80:   required from 'void qpmad::FactorizationData<t_Scalar, t_primal_size>::updateStepsAfterPartialStep(t_VectorType0&, t_VectorType1&, const t_ActiveSet&) [with t_VectorType0 = Eigen::Matrix<double, -1, 1>; t_VectorType1 = Eigen::Matrix<double, -1, 1>; t_ActiveSet = qpmad::ActiveSet<-1>; t_Scalar = double; int t_primal_size = -1]'
../inst/include/qpmad/solver.h:551:76:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
../inst/include/qpmad/factorization_data.h:239:47:   required from 'void qpmad::FactorizationData<t_Scalar, t_primal_size>::updateStepsAfterPureDualStep(t_VectorType0&, t_VectorType1&, const t_ActiveSet&) [with t_VectorType0 = Eigen::Matrix<double, -1, 1>; t_VectorType1 = Eigen::Matrix<double, -1, 1>; t_ActiveSet = qpmad::ActiveSet<-1>; t_Scalar = double; int t_primal_size = -1]'
../inst/include/qpmad/solver.h:627:77:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
../inst/include/qpmad/factorization_data.h:239:80:   required from 'void qpmad::FactorizationData<t_Scalar, t_primal_size>::updateStepsAfterPureDualStep(t_VectorType0&, t_VectorType1&, const t_ActiveSet&) [with t_VectorType0 = Eigen::Matrix<double, -1, 1>; t_VectorType1 = Eigen::Matrix<double, -1, 1>; t_ActiveSet = qpmad::ActiveSet<-1>; t_Scalar = double; int t_primal_size = -1]'
../inst/include/qpmad/solver.h:627:77:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 3>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:33:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
../inst/include/qpmad/solver.h:269:81:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, 1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, 3>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, 0>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:43:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
../inst/include/qpmad/solver.h:269:81:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 3>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:91:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
../inst/include/qpmad/solver.h:269:81:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>, 1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>, 3>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>, 0>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, -1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:101:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
../inst/include/qpmad/solver.h:269:81:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13:   required from 'struct Eigen::internal::blas_traits<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:55:50:   required from 'struct Eigen::internal::triangular_solver_selector<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 1, 2, 0, 1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 2]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 2]'
../inst/include/qpmad/solver.h:281:91:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 0>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, true, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>'
../inst/include/qpmad/factorization_data.h:249:42:   required from 'void qpmad::FactorizationData<t_Scalar, t_primal_size>::computePrimalStepDirection(t_VectorType&, qpmad::MatrixIndex) [with t_VectorType = Eigen::Matrix<double, -1, 1>; t_Scalar = double; int t_primal_size = -1; qpmad::MatrixIndex = long int]'
../inst/include/qpmad/factorization_data.h:154:39:   required from 'void qpmad::FactorizationData<t_Scalar, t_primal_size>::computeEqualityPrimalStep(t_VectorType&, qpmad::MatrixIndex, qpmad::MatrixIndex) [with t_VectorType = Eigen::Matrix<double, -1, 1>; t_Scalar = double; int t_primal_size = -1; qpmad::MatrixIndex = long int]'
../inst/include/qpmad/solver.h:368:74:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
../inst/include/qpmad/factorization_data.h:249:21:   required from 'void qpmad::FactorizationData<t_Scalar, t_primal_size>::computePrimalStepDirection(t_VectorType&, qpmad::MatrixIndex) [with t_VectorType = Eigen::Matrix<double, -1, 1>; t_Scalar = double; int t_primal_size = -1; qpmad::MatrixIndex = long int]'
../inst/include/qpmad/factorization_data.h:154:39:   required from 'void qpmad::FactorizationData<t_Scalar, t_primal_size>::computeEqualityPrimalStep(t_VectorType&, qpmad::MatrixIndex, qpmad::MatrixIndex) [with t_VectorType = Eigen::Matrix<double, -1, 1>; t_Scalar = double; int t_primal_size = -1; qpmad::MatrixIndex = long int]'
../inst/include/qpmad/solver.h:368:74:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, 7>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>'
../inst/include/qpmad/factorization_data.h:250:21:   required from 'void qpmad::FactorizationData<t_Scalar, t_primal_size>::computePrimalStepDirection(t_VectorType&, qpmad::MatrixIndex) [with t_VectorType = Eigen::Matrix<double, -1, 1>; t_Scalar = double; int t_primal_size = -1; qpmad::MatrixIndex = long int]'
../inst/include/qpmad/factorization_data.h:154:39:   required from 'void qpmad::FactorizationData<t_Scalar, t_primal_size>::computeEqualityPrimalStep(t_VectorType&, qpmad::MatrixIndex, qpmad::MatrixIndex) [with t_VectorType = Eigen::Matrix<double, -1, 1>; t_Scalar = double; int t_primal_size = -1; qpmad::MatrixIndex = long int]'
../inst/include/qpmad/solver.h:368:74:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>'
../inst/include/qpmad/givens.h:127:33:   required from 'void qpmad::GivensRotation<t_Scalar>::applyColumnWise(t_MatrixType&, int, int, int, int) const [with t_MatrixType = Eigen::Matrix<double, -1, -1>; t_Scalar = double]'
../inst/include/qpmad/factorization_data.h:110:43:   required from 'bool qpmad::FactorizationData<t_Scalar, t_primal_size>::update(qpmad::MatrixIndex, bool, double) [with t_Scalar = double; int t_primal_size = -1; qpmad::MatrixIndex = long int]'
../inst/include/qpmad/solver.h:392:62:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 3>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
../inst/include/qpmad/givens.h:128:39:   required from 'void qpmad::GivensRotation<t_Scalar>::applyColumnWise(t_MatrixType&, int, int, int, int) const [with t_MatrixType = Eigen::Matrix<double, -1, -1>; t_Scalar = double]'
../inst/include/qpmad/factorization_data.h:110:43:   required from 'bool qpmad::FactorizationData<t_Scalar, t_primal_size>::update(qpmad::MatrixIndex, bool, double) [with t_Scalar = double; int t_primal_size = -1; qpmad::MatrixIndex = long int]'
../inst/include/qpmad/solver.h:392:62:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
../inst/include/qpmad/factorization_data.h:263:36:   required from 'void qpmad::FactorizationData<t_Scalar, t_primal_size>::computeDualStepDirection(t_VectorType&, const t_ActiveSet&) [with t_VectorType = Eigen::Matrix<double, -1, 1>; t_ActiveSet = qpmad::ActiveSet<-1>; t_Scalar = double; int t_primal_size = -1]'
../inst/include/qpmad/factorization_data.h:218:37:   required from 'void qpmad::FactorizationData<t_Scalar, t_primal_size>::computeInequalityDualStep(t_VectorType&, const qpmad::ChosenConstraint&, const t_MatrixType&, const t_ActiveSet&) [with t_VectorType = Eigen::Matrix<double, -1, 1>; t_MatrixType = Eigen::Matrix<double, -1, -1>; t_ActiveSet = qpmad::ActiveSet<-1>; t_Scalar = double; int t_primal_size = -1]'
../inst/include/qpmad/solver.h:446:62:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Solve<Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Solve<Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Solve<Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Solve<Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Solve<Eigen::TriangularView<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
../inst/include/qpmad/factorization_data.h:258:21:   required from 'void qpmad::FactorizationData<t_Scalar, t_primal_size>::computeDualStepDirection(t_VectorType&, const t_ActiveSet&) [with t_VectorType = Eigen::Matrix<double, -1, 1>; t_ActiveSet = qpmad::ActiveSet<-1>; t_Scalar = double; int t_primal_size = -1]'
../inst/include/qpmad/factorization_data.h:218:37:   required from 'void qpmad::FactorizationData<t_Scalar, t_primal_size>::computeInequalityDualStep(t_VectorType&, const qpmad::ChosenConstraint&, const t_MatrixType&, const t_ActiveSet&) [with t_VectorType = Eigen::Matrix<double, -1, 1>; t_MatrixType = Eigen::Matrix<double, -1, -1>; t_ActiveSet = qpmad::ActiveSet<-1>; t_Scalar = double; int t_primal_size = -1]'
../inst/include/qpmad/solver.h:446:62:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 3>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 0>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, -1>'
../inst/include/qpmad/givens.h:143:41:   required from 'void qpmad::GivensRotation<t_Scalar>::applyRowWise(t_MatrixType&, int, int, int, int) const [with t_MatrixType = Eigen::Matrix<double, -1, -1>; t_Scalar = double]'
../inst/include/qpmad/factorization_data.h:136:36:   required from 'void qpmad::FactorizationData<t_Scalar, t_primal_size>::downdate(qpmad::MatrixIndex, qpmad::MatrixIndex) [with t_Scalar = double; int t_primal_size = -1; qpmad::MatrixIndex = long int]'
../inst/include/qpmad/solver.h:546:57:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:69:7:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 2]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 2]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 2]'
../inst/include/qpmad/solver.h:281:91:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 2>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 0>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>'
../inst/include/qpmad/inverse.h:29:57:   required from 'static void qpmad::TriangularInversion::compute(t_OutputMatrixType&, const t_InputMatrixType&) [with t_OutputMatrixType = Eigen::Matrix<double, -1, -1>; t_InputMatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/qpmad/factorization_data.h:44:49:   required from 'void qpmad::FactorizationData<t_Scalar, t_primal_size>::initialize(t_MatrixType&, qpmad::SolverParameters::HessianType, qpmad::MatrixIndex, bool) [with t_MatrixType = Eigen::Matrix<double, -1, -1>; t_Scalar = double; int t_primal_size = -1; qpmad::MatrixIndex = long int]'
../inst/include/qpmad/solver.h:663:47:   required from 'void qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::initializeMachineryLazy(t_MatrixType&, bool) [with t_MatrixType = Eigen::Matrix<double, -1, -1>; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1]'
../inst/include/qpmad/solver.h:357:44:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, false>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, false>, 2>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, false>, 0>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, false, true>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, -1>'
../inst/include/qpmad/inverse.h:29:68:   required from 'static void qpmad::TriangularInversion::compute(t_OutputMatrixType&, const t_InputMatrixType&) [with t_OutputMatrixType = Eigen::Matrix<double, -1, -1>; t_InputMatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/qpmad/factorization_data.h:44:49:   required from 'void qpmad::FactorizationData<t_Scalar, t_primal_size>::initialize(t_MatrixType&, qpmad::SolverParameters::HessianType, qpmad::MatrixIndex, bool) [with t_MatrixType = Eigen::Matrix<double, -1, -1>; t_Scalar = double; int t_primal_size = -1; qpmad::MatrixIndex = long int]'
../inst/include/qpmad/solver.h:663:47:   required from 'void qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::initializeMachineryLazy(t_MatrixType&, bool) [with t_MatrixType = Eigen::Matrix<double, -1, -1>; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1]'
../inst/include/qpmad/solver.h:357:44:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, 6>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>'
../inst/include/qpmad/inverse.h:29:83:   required from 'static void qpmad::TriangularInversion::compute(t_OutputMatrixType&, const t_InputMatrixType&) [with t_OutputMatrixType = Eigen::Matrix<double, -1, -1>; t_InputMatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/qpmad/factorization_data.h:44:49:   required from 'void qpmad::FactorizationData<t_Scalar, t_primal_size>::initialize(t_MatrixType&, qpmad::SolverParameters::HessianType, qpmad::MatrixIndex, bool) [with t_MatrixType = Eigen::Matrix<double, -1, -1>; t_Scalar = double; int t_primal_size = -1; qpmad::MatrixIndex = long int]'
../inst/include/qpmad/solver.h:663:47:   required from 'void qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::initializeMachineryLazy(t_MatrixType&, bool) [with t_MatrixType = Eigen::Matrix<double, -1, -1>; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1]'
../inst/include/qpmad/solver.h:357:44:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 3>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>, 0>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:279:10:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Eigen::Index = long int]'
../inst/include/qpmad/givens.h:129:44:   required from 'void qpmad::GivensRotation<t_Scalar>::applyColumnWise(t_MatrixType&, int, int, int, int) const [with t_MatrixType = Eigen::Matrix<double, -1, -1>; t_Scalar = double]'
../inst/include/qpmad/factorization_data.h:110:43:   required from 'bool qpmad::FactorizationData<t_Scalar, t_primal_size>::update(qpmad::MatrixIndex, bool, double) [with t_Scalar = double; int t_primal_size = -1; qpmad::MatrixIndex = long int]'
../inst/include/qpmad/solver.h:392:62:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 3>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>, 0>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:279:10:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Eigen::Index = long int]'
../inst/include/qpmad/givens.h:147:44:   required from 'void qpmad::GivensRotation<t_Scalar>::applyRowWise(t_MatrixType&, int, int, int, int) const [with t_MatrixType = Eigen::Matrix<double, -1, -1>; t_Scalar = double]'
../inst/include/qpmad/factorization_data.h:136:36:   required from 'void qpmad::FactorizationData<t_Scalar, t_primal_size>::downdate(qpmad::MatrixIndex, qpmad::MatrixIndex) [with t_Scalar = double; int t_primal_size = -1; qpmad::MatrixIndex = long int]'
../inst/include/qpmad/solver.h:546:57:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:74:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
../inst/include/qpmad/solver.h:269:81:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:22:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:125:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
../inst/include/qpmad/solver.h:269:81:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 3>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 0>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:351:41:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
../inst/include/qpmad/solver.h:269:81:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >, 2>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:27:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
../inst/include/qpmad/solver.h:269:81:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 2]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 2]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 2]'
../inst/include/qpmad/solver.h:281:91:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 2]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 2]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 2]'
../inst/include/qpmad/solver.h:281:91:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:499:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:65:115:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 2]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 2]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 2]'
../inst/include/qpmad/solver.h:281:91:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  351 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  352 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  353 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:31:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 2]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 2]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 2]'
../inst/include/qpmad/solver.h:281:91:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:42:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 2]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 2]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 2]'
../inst/include/qpmad/solver.h:281:91:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 2]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 2]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 2]'
../inst/include/qpmad/solver.h:281:91:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:73:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 2]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 2]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 2]'
../inst/include/qpmad/solver.h:281:91:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 2]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 2]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 2]'
../inst/include/qpmad/solver.h:281:91:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Matrix<double, -1, 1> >, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Matrix<double, -1, 1> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Matrix<double, -1, 1> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Matrix<double, -1, 1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Matrix<double, -1, 1>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   required from 'Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<double, -1, 1>; XprType = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   required from 'Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, 1>, 0>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
../inst/include/qpmad/solver.h:354:55:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, -1> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:392:42:   required from 'Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::setConstant(const Scalar&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 9; TriangularViewType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 9>; Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:395:44:   required from 'Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::setZero() [with _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 9; TriangularViewType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 9>]'
../inst/include/qpmad/factorization_data.h:40:78:   required from 'void qpmad::FactorizationData<t_Scalar, t_primal_size>::initialize(t_MatrixType&, qpmad::SolverParameters::HessianType, qpmad::MatrixIndex, bool) [with t_MatrixType = Eigen::Matrix<double, -1, -1>; t_Scalar = double; int t_primal_size = -1; qpmad::MatrixIndex = long int]'
../inst/include/qpmad/solver.h:663:47:   required from 'void qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::initializeMachineryLazy(t_MatrixType&, bool) [with t_MatrixType = Eigen::Matrix<double, -1, -1>; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1]'
../inst/include/qpmad/solver.h:357:44:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:445:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; Func = assign_op<double, double>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; StorageBase = Eigen::MatrixBase]'
../inst/include/qpmad/factorization_data.h:165:46:   required from 'void qpmad::FactorizationData<t_Scalar, t_primal_size>::computeEqualityPrimalStep(t_VectorType&, const t_RowVectorType&, qpmad::MatrixIndex) [with t_VectorType = Eigen::Matrix<double, -1, 1>; t_RowVectorType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; t_Scalar = double; int t_primal_size = -1; qpmad::MatrixIndex = long int]'
../inst/include/qpmad/solver.h:374:74:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::internal::IndexBased, double>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:454:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>; VectorY = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>; OtherScalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:281:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Eigen::Index = long int]'
../inst/include/qpmad/givens.h:129:44:   required from 'void qpmad::GivensRotation<t_Scalar>::applyColumnWise(t_MatrixType&, int, int, int, int) const [with t_MatrixType = Eigen::Matrix<double, -1, -1>; t_Scalar = double]'
../inst/include/qpmad/factorization_data.h:110:43:   required from 'bool qpmad::FactorizationData<t_Scalar, t_primal_size>::update(qpmad::MatrixIndex, bool, double) [with t_Scalar = double; int t_primal_size = -1; qpmad::MatrixIndex = long int]'
../inst/include/qpmad/solver.h:392:62:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true> >':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:454:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>; VectorY = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1, -1, true>; OtherScalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:281:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Eigen::Index = long int]'
../inst/include/qpmad/givens.h:129:44:   required from 'void qpmad::GivensRotation<t_Scalar>::applyColumnWise(t_MatrixType&, int, int, int, int) const [with t_MatrixType = Eigen::Matrix<double, -1, -1>; t_Scalar = double]'
../inst/include/qpmad/factorization_data.h:110:43:   required from 'bool qpmad::FactorizationData<t_Scalar, t_primal_size>::update(qpmad::MatrixIndex, bool, double) [with t_Scalar = double; int t_primal_size = -1; qpmad::MatrixIndex = long int]'
../inst/include/qpmad/solver.h:392:62:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Functor = add_assign_op<double, double>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = add_assign_op<double, double>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:50:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
../inst/include/qpmad/solver.h:525:109:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:454:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>; VectorY = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>; OtherScalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:281:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Eigen::Index = long int]'
../inst/include/qpmad/givens.h:147:44:   required from 'void qpmad::GivensRotation<t_Scalar>::applyRowWise(t_MatrixType&, int, int, int, int) const [with t_MatrixType = Eigen::Matrix<double, -1, -1>; t_Scalar = double]'
../inst/include/qpmad/factorization_data.h:136:36:   required from 'void qpmad::FactorizationData<t_Scalar, t_primal_size>::downdate(qpmad::MatrixIndex, qpmad::MatrixIndex) [with t_Scalar = double; int t_primal_size = -1; qpmad::MatrixIndex = long int]'
../inst/include/qpmad/solver.h:546:57:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false> >':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:454:5:   required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>; VectorY = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1, -1, false>; OtherScalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:281:40:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = double; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Eigen::Index = long int]'
../inst/include/qpmad/givens.h:147:44:   required from 'void qpmad::GivensRotation<t_Scalar>::applyRowWise(t_MatrixType&, int, int, int, int) const [with t_MatrixType = Eigen::Matrix<double, -1, -1>; t_Scalar = double]'
../inst/include/qpmad/factorization_data.h:136:36:   required from 'void qpmad::FactorizationData<t_Scalar, t_primal_size>::downdate(qpmad::MatrixIndex, qpmad::MatrixIndex) [with t_Scalar = double; int t_primal_size = -1; qpmad::MatrixIndex = long int]'
../inst/include/qpmad/solver.h:546:57:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 3>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
../inst/include/qpmad/solver.h:269:81:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 2>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
../inst/include/qpmad/solver.h:269:81:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0, 7>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
../inst/include/qpmad/solver.h:269:81:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, 1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, 3>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>, 0>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
../inst/include/qpmad/solver.h:269:81:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 3>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, 0>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
../inst/include/qpmad/solver.h:269:81:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 3>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, 0>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
../inst/include/qpmad/solver.h:269:81:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 2>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
../inst/include/qpmad/solver.h:269:81:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0, 7>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
../inst/include/qpmad/solver.h:269:81:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:65:115:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 2]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 2]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 2]'
../inst/include/qpmad/solver.h:281:91:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  385 |   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
      |                                                              ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op<double, double>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]'
../inst/include/qpmad/factorization_data.h:248:38:   required from 'void qpmad::FactorizationData<t_Scalar, t_primal_size>::computePrimalStepDirection(t_VectorType&, qpmad::MatrixIndex) [with t_VectorType = Eigen::Matrix<double, -1, 1>; t_Scalar = double; int t_primal_size = -1; qpmad::MatrixIndex = long int]'
../inst/include/qpmad/factorization_data.h:154:39:   required from 'void qpmad::FactorizationData<t_Scalar, t_primal_size>::computeEqualityPrimalStep(t_VectorType&, qpmad::MatrixIndex, qpmad::MatrixIndex) [with t_VectorType = Eigen::Matrix<double, -1, 1>; t_Scalar = double; int t_primal_size = -1; qpmad::MatrixIndex = long int]'
../inst/include/qpmad/solver.h:368:74:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op<double, double>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]'
../inst/include/qpmad/factorization_data.h:248:38:   required from 'void qpmad::FactorizationData<t_Scalar, t_primal_size>::computePrimalStepDirection(t_VectorType&, qpmad::MatrixIndex) [with t_VectorType = Eigen::Matrix<double, -1, 1>; t_Scalar = double; int t_primal_size = -1; qpmad::MatrixIndex = long int]'
../inst/include/qpmad/factorization_data.h:154:39:   required from 'void qpmad::FactorizationData<t_Scalar, t_primal_size>::computeEqualityPrimalStep(t_VectorType&, qpmad::MatrixIndex, qpmad::MatrixIndex) [with t_VectorType = Eigen::Matrix<double, -1, 1>; t_Scalar = double; int t_primal_size = -1; qpmad::MatrixIndex = long int]'
../inst/include/qpmad/solver.h:368:74:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true> >':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:74:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
../inst/include/qpmad/solver.h:269:81:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:74:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
../inst/include/qpmad/solver.h:269:81:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:125:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
../inst/include/qpmad/solver.h:269:81:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:125:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
../inst/include/qpmad/solver.h:269:81:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
../inst/include/qpmad/solver.h:269:81:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
../inst/include/qpmad/solver.h:269:81:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 2]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 2]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 2]'
../inst/include/qpmad/solver.h:281:91:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 2]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 2]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 2]'
../inst/include/qpmad/solver.h:281:91:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:496:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:215:27:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; int Side = 2; int Mode = 2]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >; unsigned int _Mode = 2]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:96:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
../inst/include/qpmad/solver.h:269:81:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  391 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:392:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  392 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  393 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:371:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of 'Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:263:43:   required from 'Index Eigen::internal::blas_data_mapper<Scalar, Index, StorageOrder, AlignmentType, 1>::firstAligned(Index) const [with Scalar = const double; Index = long int; int StorageOrder = 0; int AlignmentType = 0]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:400:40:   required from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:65:115:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 2]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 2]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 2]'
../inst/include/qpmad/solver.h:281:91:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:60: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  470 |   return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
      |                                                            ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, false> >, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, false> >, 2>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Option = 0; Scalar = double]'
../inst/include/qpmad/inverse.h:29:34:   required from 'static void qpmad::TriangularInversion::compute(t_OutputMatrixType&, const t_InputMatrixType&) [with t_OutputMatrixType = Eigen::Matrix<double, -1, -1>; t_InputMatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/qpmad/factorization_data.h:44:49:   required from 'void qpmad::FactorizationData<t_Scalar, t_primal_size>::initialize(t_MatrixType&, qpmad::SolverParameters::HessianType, qpmad::MatrixIndex, bool) [with t_MatrixType = Eigen::Matrix<double, -1, -1>; t_Scalar = double; int t_primal_size = -1; qpmad::MatrixIndex = long int]'
../inst/include/qpmad/solver.h:663:47:   required from 'void qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::initializeMachineryLazy(t_MatrixType&, bool) [with t_MatrixType = Eigen::Matrix<double, -1, -1>; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1]'
../inst/include/qpmad/solver.h:357:44:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Option = 0; Scalar = double]'
../inst/include/qpmad/inverse.h:29:34:   required from 'static void qpmad::TriangularInversion::compute(t_OutputMatrixType&, const t_InputMatrixType&) [with t_OutputMatrixType = Eigen::Matrix<double, -1, -1>; t_InputMatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/qpmad/factorization_data.h:44:49:   required from 'void qpmad::FactorizationData<t_Scalar, t_primal_size>::initialize(t_MatrixType&, qpmad::SolverParameters::HessianType, qpmad::MatrixIndex, bool) [with t_MatrixType = Eigen::Matrix<double, -1, -1>; t_Scalar = double; int t_primal_size = -1; qpmad::MatrixIndex = long int]'
../inst/include/qpmad/solver.h:663:47:   required from 'void qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::initializeMachineryLazy(t_MatrixType&, bool) [with t_MatrixType = Eigen::Matrix<double, -1, -1>; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1]'
../inst/include/qpmad/solver.h:357:44:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Functor = assign_op<double, double>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Func = assign_op<double, double>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]'
../inst/include/qpmad/factorization_data.h:152:36:   required from 'void qpmad::FactorizationData<t_Scalar, t_primal_size>::computeEqualityPrimalStep(t_VectorType&, qpmad::MatrixIndex, qpmad::MatrixIndex) [with t_VectorType = Eigen::Matrix<double, -1, 1>; t_Scalar = double; int t_primal_size = -1; qpmad::MatrixIndex = long int]'
../inst/include/qpmad/solver.h:368:74:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Functor = swap_assign_op<double>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Src = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>]'
../inst/include/qpmad/givens.h:143:66:   required from 'void qpmad::GivensRotation<t_Scalar>::applyRowWise(t_MatrixType&, int, int, int, int) const [with t_MatrixType = Eigen::Matrix<double, -1, -1>; t_Scalar = double]'
../inst/include/qpmad/factorization_data.h:136:36:   required from 'void qpmad::FactorizationData<t_Scalar, t_primal_size>::downdate(qpmad::MatrixIndex, qpmad::MatrixIndex) [with t_Scalar = double; int t_primal_size = -1; qpmad::MatrixIndex = long int]'
../inst/include/qpmad/solver.h:546:57:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> > >; Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28:   required from 'static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:74:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
../inst/include/qpmad/solver.h:269:81:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Lhs = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, 1, -1, false> >, 0>; Func = sub_assign_op<double, double>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
../inst/include/qpmad/solver.h:269:81:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:33:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
../inst/include/qpmad/solver.h:269:81:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false> >':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, 1, -1, false> >, 0>; Func = sub_assign_op<double, double>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
../inst/include/qpmad/solver.h:269:81:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:287:26:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; int Side = 2; int Mode = 2]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false> >; unsigned int _Mode = 2]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:96:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
../inst/include/qpmad/solver.h:269:81:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1537:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1537 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1592:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1592 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1593:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1593 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1594:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1594 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1595 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 16>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 4>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52:   required from 'void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13:   required from 'static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:64:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
../inst/include/qpmad/solver.h:269:81:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  187 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  205 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:64:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
../inst/include/qpmad/solver.h:269:81:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 2]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 2]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 2]'
../inst/include/qpmad/solver.h:281:91:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::TriangularShape, Eigen::DenseShape, 7>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]'
../inst/include/qpmad/solver.h:290:58:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, -1, 1, false>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, -1, 1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, -1, 1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, -1, 1, false, false>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, -1, 1, false, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, -1, 1, false>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::TriangularShape, Eigen::DenseShape, 7>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]'
../inst/include/qpmad/solver.h:290:58:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, -1, 1, false> >, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, -1, 1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, -1, 1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, -1, 1, false>, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, -1, 1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54:   required from 'static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; Dest = Eigen::Matrix<double, -1, 1>; int Mode = 1; typename Dest::Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:180:109:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::TriangularShape, Eigen::DenseShape, 7>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]'
../inst/include/qpmad/solver.h:290:58:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 0>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, Eigen::TriangularShape, Eigen::DenseShape, 7>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]'
../inst/include/qpmad/solver.h:291:42:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:274:29:   required from 'static void Eigen::internal::trmv_selector<Mode, 0>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; int Mode = 2; typename Dest::Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:180:109:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, Eigen::TriangularShape, Eigen::DenseShape, 7>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]'
../inst/include/qpmad/solver.h:291:42:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, 1>, -1, 1, false, true>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, Eigen::TriangularShape, Eigen::DenseShape, 7>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]'
../inst/include/qpmad/solver.h:291:42:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:282:54:   required from 'static void Eigen::internal::trmv_selector<Mode, 0>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; int Mode = 2; typename Dest::Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:180:109:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, Eigen::TriangularShape, Eigen::DenseShape, 7>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]'
../inst/include/qpmad/solver.h:291:42:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 3>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; Func = assign_op<double, double>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; StorageBase = Eigen::MatrixBase]'
../inst/include/qpmad/factorization_data.h:165:46:   required from 'void qpmad::FactorizationData<t_Scalar, t_primal_size>::computeEqualityPrimalStep(t_VectorType&, const t_RowVectorType&, qpmad::MatrixIndex) [with t_VectorType = Eigen::Matrix<double, -1, 1>; t_RowVectorType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; t_Scalar = double; int t_primal_size = -1; qpmad::MatrixIndex = long int]'
../inst/include/qpmad/solver.h:374:74:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]'
../inst/include/qpmad/solver.h:703:51:   required from 'void qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::chooseConstraint(const t_Primal&, const t_LowerBounds&, const t_UpperBounds&, const t_Constraints&, const t_ConstraintsLowerBounds&, const t_ConstraintsUpperBounds&, double) [with t_Primal = Eigen::Matrix<double, -1, 1>; t_LowerBounds = Eigen::Matrix<double, -1, 1>; t_UpperBounds = Eigen::Matrix<double, -1, 1>; t_Constraints = Eigen::Matrix<double, -1, -1>; t_ConstraintsLowerBounds = Eigen::Matrix<double, -1, 1>; t_ConstraintsUpperBounds = Eigen::Matrix<double, -1, 1>; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1]'
../inst/include/qpmad/solver.h:425:29:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   75 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   76 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   77 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 3>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::TriangularShape, Eigen::DenseShape, 7>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]'
../inst/include/qpmad/solver.h:290:58:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::TriangularShape, Eigen::DenseShape, 7>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]'
../inst/include/qpmad/solver.h:290:58:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::TriangularShape, Eigen::DenseShape, 7>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]'
../inst/include/qpmad/solver.h:290:58:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77:   required from 'static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 1; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::TriangularShape, Eigen::DenseShape, 7>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]'
../inst/include/qpmad/solver.h:290:58:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 1>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:145:123:   required from 'static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 1; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   required from 'static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; Dest = Eigen::Matrix<double, -1, 1>; int Mode = 1; typename Dest::Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:180:109:   required from 'static void Eigen::internal::triangular_product_impl<Mode, true, Lhs, false, Rhs, true>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; int Mode = 1; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Dest::Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:738:14:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; int ProductTag = 7; Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::TriangularShape, Eigen::DenseShape, 7>; Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::TriangularShape, Eigen::DenseShape, 7>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]'
../inst/include/qpmad/solver.h:290:58:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  351 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  352 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  353 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, 1, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:154:113:   required from 'static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 1; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   required from 'static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; Dest = Eigen::Matrix<double, -1, 1>; int Mode = 1; typename Dest::Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:180:109:   required from 'static void Eigen::internal::triangular_product_impl<Mode, true, Lhs, false, Rhs, true>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; int Mode = 1; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Dest::Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:738:14:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; int ProductTag = 7; Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::TriangularShape, Eigen::DenseShape, 7>; Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::TriangularShape, Eigen::DenseShape, 7>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]'
../inst/include/qpmad/solver.h:290:58:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  351 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  352 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  353 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:44:18:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, Eigen::TriangularShape, Eigen::DenseShape, 7>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]'
../inst/include/qpmad/solver.h:291:42:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 2>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:48:18:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, Eigen::TriangularShape, Eigen::DenseShape, 7>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]'
../inst/include/qpmad/solver.h:291:42:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, Eigen::TriangularShape, Eigen::DenseShape, 7>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]'
../inst/include/qpmad/solver.h:291:42:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, Eigen::TriangularShape, Eigen::DenseShape, 7>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]'
../inst/include/qpmad/solver.h:291:42:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, Eigen::TriangularShape, Eigen::DenseShape, 7>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]'
../inst/include/qpmad/solver.h:291:42:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:66:56:   required from 'static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 0, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const RhsScalar&) [with Index = long int; int Mode = 2; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:266:12:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, Eigen::TriangularShape, Eigen::DenseShape, 7>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]'
../inst/include/qpmad/solver.h:291:42:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 1>, false, 1>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:74:123:   required from 'static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 0, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const RhsScalar&) [with Index = long int; int Mode = 2; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:266:12:   required from 'static void Eigen::internal::trmv_selector<Mode, 0>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; int Mode = 2; typename Dest::Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:180:109:   required from 'static void Eigen::internal::triangular_product_impl<Mode, true, Lhs, false, Rhs, true>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; int Mode = 2; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:738:14:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>; Rhs = Eigen::Matrix<double, -1, 1>; int ProductTag = 7; Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, Eigen::TriangularShape, Eigen::DenseShape, 7>; Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, Eigen::TriangularShape, Eigen::DenseShape, 7>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]'
../inst/include/qpmad/solver.h:291:42:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   75 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   76 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   77 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Option = 0; Scalar = double]'
../inst/include/qpmad/inverse.h:29:34:   required from 'static void qpmad::TriangularInversion::compute(t_OutputMatrixType&, const t_InputMatrixType&) [with t_OutputMatrixType = Eigen::Matrix<double, -1, -1>; t_InputMatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/qpmad/factorization_data.h:44:49:   required from 'void qpmad::FactorizationData<t_Scalar, t_primal_size>::initialize(t_MatrixType&, qpmad::SolverParameters::HessianType, qpmad::MatrixIndex, bool) [with t_MatrixType = Eigen::Matrix<double, -1, -1>; t_Scalar = double; int t_primal_size = -1; qpmad::MatrixIndex = long int]'
../inst/include/qpmad/solver.h:663:47:   required from 'void qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::initializeMachineryLazy(t_MatrixType&, bool) [with t_MatrixType = Eigen::Matrix<double, -1, -1>; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1]'
../inst/include/qpmad/solver.h:357:44:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, false> >':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:37:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Option = 0; Scalar = double]'
../inst/include/qpmad/inverse.h:29:34:   required from 'static void qpmad::TriangularInversion::compute(t_OutputMatrixType&, const t_InputMatrixType&) [with t_OutputMatrixType = Eigen::Matrix<double, -1, -1>; t_InputMatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/qpmad/factorization_data.h:44:49:   required from 'void qpmad::FactorizationData<t_Scalar, t_primal_size>::initialize(t_MatrixType&, qpmad::SolverParameters::HessianType, qpmad::MatrixIndex, bool) [with t_MatrixType = Eigen::Matrix<double, -1, -1>; t_Scalar = double; int t_primal_size = -1; qpmad::MatrixIndex = long int]'
../inst/include/qpmad/solver.h:663:47:   required from 'void qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::initializeMachineryLazy(t_MatrixType&, bool) [with t_MatrixType = Eigen::Matrix<double, -1, -1>; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1]'
../inst/include/qpmad/solver.h:357:44:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]'
../inst/include/qpmad/solver.h:703:51:   required from 'void qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::chooseConstraint(const t_Primal&, const t_LowerBounds&, const t_UpperBounds&, const t_Constraints&, const t_ConstraintsLowerBounds&, const t_ConstraintsUpperBounds&, double) [with t_Primal = Eigen::Matrix<double, -1, 1>; t_LowerBounds = Eigen::Matrix<double, -1, 1>; t_UpperBounds = Eigen::Matrix<double, -1, 1>; t_Constraints = Eigen::Matrix<double, -1, -1>; t_ConstraintsLowerBounds = Eigen::Matrix<double, -1, 1>; t_ConstraintsUpperBounds = Eigen::Matrix<double, -1, 1>; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1]'
../inst/include/qpmad/solver.h:425:29:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  112 |   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
      |                                                              ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = div_assign_op<double, double>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
../inst/include/qpmad/solver.h:269:81:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false> >':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = div_assign_op<double, double>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1> >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >; Func = div_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
../inst/include/qpmad/solver.h:269:81:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 4, 4> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4>; Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:358:64:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; Scalar = double; Eigen::Index = long int]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42:   required from 'Eigen::LLT<MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14:   required from 'Eigen::LLT<MatrixType, UpLo>::LLT(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Ref<Eigen::Matrix<double, -1, -1> >; int _UpLo = 1]'
../inst/include/qpmad/solver.h:269:81:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   55 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateRhs = false; int Version = 1; ResScalar = double]':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:145:123:   required from 'static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 1; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   required from 'static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; Dest = Eigen::Matrix<double, -1, 1>; int Mode = 1; typename Dest::Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:180:109:   required from 'static void Eigen::internal::triangular_product_impl<Mode, true, Lhs, false, Rhs, true>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; int Mode = 1; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Dest::Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:738:14:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; int ProductTag = 7; Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::TriangularShape, Eigen::DenseShape, 7>; Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::TriangularShape, Eigen::DenseShape, 7>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]'
../inst/include/qpmad/solver.h:290:58:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  385 |   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
      |                                                              ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:154:113:   required from 'static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 1; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   required from 'static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; Dest = Eigen::Matrix<double, -1, 1>; int Mode = 1; typename Dest::Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:180:109:   required from 'static void Eigen::internal::triangular_product_impl<Mode, true, Lhs, false, Rhs, true>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; int Mode = 1; Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Dest::Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:738:14:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; int ProductTag = 7; Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::TriangularShape, Eigen::DenseShape, 7>; Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::TriangularShape, Eigen::DenseShape, 7>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]'
../inst/include/qpmad/solver.h:290:58:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateRhs = false; int Version = 1; ResScalar = double]':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:74:123:   required from 'static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 0, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const RhsScalar&) [with Index = long int; int Mode = 2; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:266:12:   required from 'static void Eigen::internal::trmv_selector<Mode, 0>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; int Mode = 2; typename Dest::Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:180:109:   required from 'static void Eigen::internal::triangular_product_impl<Mode, true, Lhs, false, Rhs, true>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; int Mode = 2; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:738:14:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::TriangularShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>; Rhs = Eigen::Matrix<double, -1, 1>; int ProductTag = 7; Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, Eigen::TriangularShape, Eigen::DenseShape, 7>; Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, Eigen::TriangularShape, Eigen::DenseShape, 7>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]'
../inst/include/qpmad/solver.h:291:42:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  112 |   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
      |                                                              ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, 0, false, double, Eigen::internal::const_blas_data_mapper<double, long int, 0>, false, 0>':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 1]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:539:25:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
../inst/include/qpmad/solver.h:280:32:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   75 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   76 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   77 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                       ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:270:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::TriangularShape, Eigen::DenseShape, 7>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]'
../inst/include/qpmad/solver.h:290:58:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, false> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Lhs = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Option = 0; Scalar = double]'
../inst/include/qpmad/inverse.h:29:34:   required from 'static void qpmad::TriangularInversion::compute(t_OutputMatrixType&, const t_InputMatrixType&) [with t_OutputMatrixType = Eigen::Matrix<double, -1, -1>; t_InputMatrixType = Eigen::Matrix<double, -1, -1>]'
../inst/include/qpmad/factorization_data.h:44:49:   required from 'void qpmad::FactorizationData<t_Scalar, t_primal_size>::initialize(t_MatrixType&, qpmad::SolverParameters::HessianType, qpmad::MatrixIndex, bool) [with t_MatrixType = Eigen::Matrix<double, -1, -1>; t_Scalar = double; int t_primal_size = -1; qpmad::MatrixIndex = long int]'
../inst/include/qpmad/solver.h:663:47:   required from 'void qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::initializeMachineryLazy(t_MatrixType&, bool) [with t_MatrixType = Eigen::Matrix<double, -1, -1>; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1]'
../inst/include/qpmad/solver.h:357:44:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 0, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0; ResScalar = double]':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Side = 1; int Mode = 1]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:539:25:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; DstType = Eigen::Matrix<double, -1, 1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, 1>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
../inst/include/qpmad/solver.h:280:32:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  112 |   conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
      |                                                              ^~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63:   required from 'static Eigen::internal::redux_impl<Func, Derived, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Derived, 3, 0>::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114:   required from 'static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 1; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   required from 'static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; Dest = Eigen::Matrix<double, -1, 1>; int Mode = 1; typename Dest::Scalar = double]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:180:109:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::TriangularShape, Eigen::DenseShape, 7>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]'
../inst/include/qpmad/solver.h:290:58:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  650 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, -1, 1, false> >':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, -1, 1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, -1, 1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::TriangularShape, Eigen::DenseShape, 7>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>; Rhs = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>; Func = assign_op<double, double>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, 1> >, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]'
../inst/include/qpmad/solver.h:290:58:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  989 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, Eigen::TriangularShape, Eigen::DenseShape, 7>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]'
../inst/include/qpmad/solver.h:291:42:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:961:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, Eigen::TriangularShape, Eigen::DenseShape, 7>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]'
../inst/include/qpmad/solver.h:291:42:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:69:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = add_assign_op<double, double>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, Eigen::TriangularShape, Eigen::DenseShape, 7>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]'
../inst/include/qpmad/solver.h:291:42:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = add_assign_op<double, double>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = add_assign_op<double, double>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:66:28:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33:   required from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, Eigen::TriangularShape, Eigen::DenseShape, 7>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]'
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 2>, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]'
../inst/include/qpmad/solver.h:291:42:   required from 'qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::ReturnStatus qpmad::SolverTemplate<t_Scalar, t_primal_size, t_has_bounds, t_general_ctr_number>::solve(Vector<t_rows_primal>&, Matrix<t_rows_H, t_cols_H>&, Vector<t_rows_h>&, Vector<t_rows_lb>&, Vector<t_rows_ub>&, Matrix<t_rows_A, t_cols_A>&, Vector<t_rows_Alb>&, Vector<t_rows_Aub>&, const qpmad::SolverParameters&) [with int t_rows_primal = -1; int t_rows_H = -1; int t_cols_H = -1; int t_rows_h = -1; int t_rows_lb = -1; int t_rows_ub = -1; int t_rows_A = -1; int t_cols_A = -1; int t_rows_Alb = -1; int t_rows_Aub = -1; t_Scalar = double; int t_primal_size = -1; int t_has_bounds = 1; int t_general_ctr_number = -1; Vector<t_rows_primal> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_H, t_cols_H> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_h> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_lb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_ub> = Eigen::Matrix<double, -1, 1>; Matrix<t_rows_A, t_cols_A> = Eigen::Matrix<double, -1, -1>; Vector<t_rows_Alb> = Eigen::Matrix<double, -1, 1>; Vector<t_rows_Aub> = Eigen::Matrix<double, -1, 1>]'
qpmad_interface.cpp:42:39:   required from here
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:989:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:507:
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h: In function 'Eigen::internal::trmv_selector<1, 1>::run<Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> >, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, Eigen::Matrix<double, -1, 1, 0, -1, 1> const>, Eigen::Matrix<double, -1, 1, 0, -1, 1> >(Eigen::Transpose<Eigen::Matrix<double, -1, -1, 0, -1, -1> > const&, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, Eigen::Matrix<double, -1, 1, 0, -1, 1> const> const&, Eigen::Matrix<double, -1, 1, 0, -1, 1>&, Eigen::Matrix<double, -1, 1, 0, -1, 1>::Scalar const&)void [clone .isra.0]':
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: warning: 'result_40' may be used uninitialized [-Wmaybe-uninitialized]
  327 |     internal::triangular_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  328 |       <Index,Mode,
      |       ~~~~~~~~~~~~
  329 |        LhsScalar, LhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  330 |        RhsScalar, RhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  331 |        RowMajor>
      |        ~~~~~~~~~
  332 |       ::run(actualLhs.rows(),actualLhs.cols(),
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  333 |             actualLhs.data(),actualLhs.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  334 |             actualRhsPtr,1,
      |             ~~~~~~~~~~~~~~~
  335 |             dest.data(),dest.innerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  336 |             actualAlpha);
      |             ~~~~~~~~~~~~
/usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:105:24: note: by argument 5 of type 'const double *' to 'Eigen::internal::triangular_matrix_vector_product<long, 1, double, false, double, false, 1, 0>::run(long, long, double const*, long, double const*, long, double*, long, double const&)' declared here
  105 | EIGEN_DONT_INLINE void triangular_matrix_vector_product<Index,Mode,LhsScalar,ConjLhs,RhsScalar,ConjRhs,RowMajor,Version>
      |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++ -std=gnu++11 -shared -L/usr/lib64/R/lib -Wl,-z,relro -Wl,--as-needed -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -o qpmadr.so RcppExports.o qpmad_interface.o -L/usr/lib64/R/lib -lR
installing to /builddir/build/BUILDROOT/R-CRAN-qpmadr-1.1.0.0-1.fc39.copr6288019.x86_64/usr/local/lib/R/library/00LOCK-qpmadr/00new/qpmadr/libs
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
  converting help for package 'qpmadr'
    finding HTML links ... done
    qpmadParameters                         html  
    solveqp                                 html  
** building package indices
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (qpmadr)
+ test -d qpmadr/src
+ cd qpmadr/src
+ rm -f RcppExports.o qpmad_interface.o qpmadr.so
+ rm -f /builddir/build/BUILDROOT/R-CRAN-qpmadr-1.1.0.0-1.fc39.copr6288019.x86_64/usr/local/lib/R/library/R.css
+ find /builddir/build/BUILDROOT/R-CRAN-qpmadr-1.1.0.0-1.fc39.copr6288019.x86_64/usr/local/lib/R/library -type f -exec sed -i s@/builddir/build/BUILDROOT/R-CRAN-qpmadr-1.1.0.0-1.fc39.copr6288019.x86_64@@g '{}' ';'
+ /usr/bin/find-debuginfo -j2 --strict-build-id -m -i --build-id-seed 1.1.0.0-1.fc39.copr6288019 --unique-debug-suffix -1.1.0.0-1.fc39.copr6288019.x86_64 --unique-debug-src-base R-CRAN-qpmadr-1.1.0.0-1.fc39.copr6288019.x86_64 --run-dwz --dwz-low-mem-die-limit 10000000 --dwz-max-die-limit 110000000 -S debugsourcefiles.list /builddir/build/BUILD/qpmadr
find-debuginfo: starting
Extracting debug info from 1 files
DWARF-compressing 1 files
sepdebugcrcfix: Updated 1 CRC32s, 0 CRC32s did match.
Creating .debug symlinks for symlinks to ELF files
Copying sources found by 'debugedit -l' to /usr/src/debug/R-CRAN-qpmadr-1.1.0.0-1.fc39.copr6288019.x86_64
115 blocks
find-debuginfo: done
+ /usr/lib/rpm/check-buildroot
+ /usr/lib/rpm/redhat/brp-ldconfig
+ /usr/lib/rpm/brp-compress
+ /usr/lib/rpm/redhat/brp-strip-lto /usr/bin/strip
+ /usr/lib/rpm/brp-strip-static-archive /usr/bin/strip
+ /usr/lib/rpm/redhat/brp-mangle-shebangs
+ /usr/lib/rpm/brp-remove-la-files
+ env /usr/lib/rpm/redhat/brp-python-bytecompile '' 1 0 -j2
+ /usr/lib/rpm/redhat/brp-python-hardlink
Processing files: R-CRAN-qpmadr-1.1.0.0-1.fc39.copr6288019.x86_64
Provides: R-CRAN-qpmadr = 1.1.0.0-1.fc39.copr6288019 R-CRAN-qpmadr(x86-64) = 1.1.0.0-1.fc39.copr6288019
Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1
Requires: libR.so()(64bit) libc.so.6()(64bit) libc.so.6(GLIBC_2.11)(64bit) libc.so.6(GLIBC_2.14)(64bit) libc.so.6(GLIBC_2.2.5)(64bit) libc.so.6(GLIBC_2.4)(64bit) libgcc_s.so.1()(64bit) libgcc_s.so.1(GCC_3.0)(64bit) libgcc_s.so.1(GCC_3.3.1)(64bit) libstdc++.so.6()(64bit) libstdc++.so.6(CXXABI_1.3)(64bit) libstdc++.so.6(GLIBCXX_3.4)(64bit) libstdc++.so.6(GLIBCXX_3.4.20)(64bit) libstdc++.so.6(GLIBCXX_3.4.21)(64bit) libstdc++.so.6(GLIBCXX_3.4.26)(64bit) libstdc++.so.6(GLIBCXX_3.4.30)(64bit) libstdc++.so.6(GLIBCXX_3.4.32)(64bit) libstdc++.so.6(GLIBCXX_3.4.9)(64bit) rtld(GNU_HASH)
Processing files: R-CRAN-qpmadr-debugsource-1.1.0.0-1.fc39.copr6288019.x86_64
Provides: R-CRAN-qpmadr-debugsource = 1.1.0.0-1.fc39.copr6288019 R-CRAN-qpmadr-debugsource(x86-64) = 1.1.0.0-1.fc39.copr6288019
Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1
Processing files: R-CRAN-qpmadr-debuginfo-1.1.0.0-1.fc39.copr6288019.x86_64
Provides: R-CRAN-qpmadr-debuginfo = 1.1.0.0-1.fc39.copr6288019 R-CRAN-qpmadr-debuginfo(x86-64) = 1.1.0.0-1.fc39.copr6288019 debuginfo(build-id) = c4df36abd7c40cf02f985e737f14afa39c38037e
Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1
Recommends: R-CRAN-qpmadr-debugsource(x86-64) = 1.1.0.0-1.fc39.copr6288019
Checking for unpackaged file(s): /usr/lib/rpm/check-files /builddir/build/BUILDROOT/R-CRAN-qpmadr-1.1.0.0-1.fc39.copr6288019.x86_64
Wrote: /builddir/build/RPMS/R-CRAN-qpmadr-1.1.0.0-1.fc39.copr6288019.x86_64.rpm
Wrote: /builddir/build/RPMS/R-CRAN-qpmadr-debugsource-1.1.0.0-1.fc39.copr6288019.x86_64.rpm
Wrote: /builddir/build/RPMS/R-CRAN-qpmadr-debuginfo-1.1.0.0-1.fc39.copr6288019.x86_64.rpm
Executing(%clean): /bin/sh -e /var/tmp/rpm-tmp.Kr64Ge
+ umask 022
+ cd /builddir/build/BUILD
+ cd qpmadr
+ /usr/bin/rm -rf /builddir/build/BUILDROOT/R-CRAN-qpmadr-1.1.0.0-1.fc39.copr6288019.x86_64
+ RPM_EC=0
++ jobs -p
+ exit 0
Executing(rmbuild): /bin/sh -e /var/tmp/rpm-tmp.hemeoB
+ umask 022
+ cd /builddir/build/BUILD
+ rm -rf /builddir/build/BUILD/qpmadr-SPECPARTS
+ rm -rf qpmadr qpmadr.gemspec
+ RPM_EC=0
++ jobs -p
+ exit 0
RPM build warnings:
    source_date_epoch_from_changelog set but %changelog is missing
Child return code was: 0