Computes the solution to symmetric linear systems.
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template<std::floating_point Float> |
auto | tatooine::lapack::sysv (uplo u, int N, int NRHS, Float *A, int LDA, int *IPIV, Float *B, int LDB, Float *WORK, int LWORK) -> int |
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template<std::floating_point Float> |
auto | tatooine::lapack::sysv (uplo u, int N, int NRHS, Float *A, int LDA, int *IPIV, Float *B, int LDB) -> int |
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template<std::floating_point Float, size_t N> |
auto | tatooine::lapack::sysv (tensor< Float, N, N > &A, tensor< Float, N > &b, uplo const u) |
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template<std::floating_point Float> |
auto | tatooine::lapack::sysv (tensor< Float > &A, tensor< Float > &B, uplo const u) |
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Computes the solution to symmetric linear systems.
Computes the solution to a system of linear equations \(\mA\mX = \mB\), where \(\mA\) is an \(n\times n\) symmetric matrix and \(\mX\) and \(\mB\) are \(n\times m\) matrices.
The diagonal pivoting method is used to factor \(\mA\) as \(\mA = \mU \mD
\mU^\top\) if uplo = Upper
, or \(\mA = \mL \mD \mL^\top\) if uplo = Lower
, where \(\mU\) (or \(\mL\)) is a product of permutation and unit upper (lower) triangular matrices, and \(\mD\) is symmetric and block diagonal with \(1\times 1\) and \(2\times 2\) diagonal blocks. The factored form of \(\mA\) is then used to solve the system of equations T.
◆ sysv() [1/4]
template<std::floating_point Float>
auto tatooine::lapack::sysv |
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tensor< Float > & |
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tensor< Float > & |
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uplo const |
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◆ sysv() [2/4]
template<std::floating_point Float, size_t N>
auto tatooine::lapack::sysv |
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tensor< Float, N, N > & |
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tensor< Float, N > & |
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uplo const |
u |
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◆ sysv() [3/4]
template<std::floating_point Float>
auto tatooine::lapack::sysv |
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uplo |
u, |
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int |
N, |
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int |
NRHS, |
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Float * |
A, |
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int |
LDA, |
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int * |
IPIV, |
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Float * |
B, |
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int |
LDB |
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◆ sysv() [4/4]
template<std::floating_point Float>
auto tatooine::lapack::sysv |
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uplo |
u, |
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int |
N, |
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int |
NRHS, |
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Float * |
A, |
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int |
LDA, |
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int * |
IPIV, |
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Float * |
B, |
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int |
LDB, |
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Float * |
WORK, |
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int |
LWORK |
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