svd.hpp

#include "../basic_array.hpp"
#include "../blas/tools.hpp"
#include "../concepts.hpp"
#include "../declarations.hpp"
#include "../exceptions.hpp"
#include "../lapack/gesvd.hpp"
#include "../layout/policies.hpp"
#include "../macros.hpp"
#include "../mem/address_space.hpp"
#include "../mem/policies.hpp"
#include "../traits.hpp"
#include <algorithm>
#include <tuple>
#include <type_traits>
#include <utility>

Detailed Description

Provides functions to compute the singular value decomposition of a matrix.

Definition in file svd.hpp.

Go to the source code of this file.

Functions
template<Matrix A> requires (is_blas_lapack_v<get_value_t<A>>)
auto	nda::linalg::svd (A const &a)
	Compute the singular value decomposition (SVD) of a matrix.
template<MemoryMatrix A> requires (is_blas_lapack_v<get_value_t<A>>)
auto	nda::linalg::svd_in_place (A &&a)
	Compute the singular value decomposition (SVD) of a matrix in place.