numerics/api/linalg_2eigen_2backends_2lapack_2impl_8hpp_source.html

/// @file linalg/eigen/backends/lapack/impl.hpp

/// @brief Private declarations for the LAPACK eigen backend.

#pragma once


#include "linalg/eigen/jacobi_eig.hpp"


namespace num::backends::lapack {


EigenResult eig_sym(const Matrix& A);


} // namespace num::backends::lapack


num::Matrix
Dense row-major matrix with optional GPU storage.
Definition matrix.hpp:12

jacobi_eig.hpp
Full symmetric eigendecomposition via cyclic Jacobi sweeps.

num::backends::lapack
Definition impl.hpp:7

num::backends::lapack::eig_sym
EigenResult eig_sym(const Matrix &A)
Definition jacobi_eig.cpp:14

num::EigenResult
Full eigendecomposition result: A = V * diag(values) * V^T.
Definition jacobi_eig.hpp:30