linalg_solve {torch} | R Documentation |
Letting \mathbb{K}
be \mathbb{R}
or \mathbb{C}
,
this function computes the solution X \in \mathbb{K}^{n \times k}
of the linear system associated to
A \in \mathbb{K}^{n \times n}, B \in \mathbb{K}^{m \times k}
, which is defined as
linalg_solve(A, B)
A |
(Tensor): tensor of shape |
B |
(Tensor): right-hand side tensor of shape |
AX = B
This system of linear equations has one solution if and only if A
is invertible
_.
This function assumes that A
is invertible.
Supports inputs of float, double, cfloat and cdouble dtypes.
Also supports batches of matrices, and if the inputs are batches of matrices then
the output has the same batch dimensions.
Letting *
be zero or more batch dimensions,
If A
has shape (*, n, n)
and B
has shape (*, n)
(a batch of vectors) or shape
(*, n, k)
(a batch of matrices or "multiple right-hand sides"), this function returns X
of shape
(*, n)
or (*, n, k)
respectively.
Otherwise, if A
has shape (*, n, n)
and B
has shape (n,)
or (n, k)
, B
is broadcasted to have shape (*, n)
or (*, n, k)
respectively.
This function then returns the solution of the resulting batch of systems of linear equations.
This function computes X = A$inverse() @ B
in a faster and
more numerically stable way than performing the computations separately.
Other linalg:
linalg_cholesky_ex()
,
linalg_cholesky()
,
linalg_det()
,
linalg_eigh()
,
linalg_eigvalsh()
,
linalg_eigvals()
,
linalg_eig()
,
linalg_householder_product()
,
linalg_inv_ex()
,
linalg_inv()
,
linalg_lstsq()
,
linalg_matrix_norm()
,
linalg_matrix_power()
,
linalg_matrix_rank()
,
linalg_multi_dot()
,
linalg_norm()
,
linalg_pinv()
,
linalg_qr()
,
linalg_slogdet()
,
linalg_solve_triangular()
,
linalg_svdvals()
,
linalg_svd()
,
linalg_tensorinv()
,
linalg_tensorsolve()
,
linalg_vector_norm()
if (torch_is_installed()) {
A <- torch_randn(3, 3)
b <- torch_randn(3)
x <- linalg_solve(A, b)
torch_allclose(torch_matmul(A, x), b)
}