uni20::linalg::SvdLeastSquaresResult< S > Struct Template Reference

Preserving least-squares result; solution and residuals are published only on success. More...

#include <svd_least_squares.hpp>

Collaboration diagram for uni20::linalg::SvdLeastSquaresResult< S >:

Public Attributes
std::optional< SvdLeastSquaresDiagnostics< make_real_t< S > > >	diagnostics = {}
	Present exactly on success, including rank zero.
LeastSquaresInfo	info = {}
std::vector< make_real_t< S > >	residual_norms = {}
	Recomputed Euclidean residual norm per RHS, in working precision; not an error bound.
std::optional< DenseMatrix< S > >	solution = {}

Detailed Description

template<RealOrComplex S>
struct uni20::linalg::SvdLeastSquaresResult< S >

Preserving least-squares result; solution and residuals are published only on success.

Member Data Documentation

diagnostics

template<RealOrComplex S>

std::optional<SvdLeastSquaresDiagnostics<make_real_t<S> > > uni20::linalg::SvdLeastSquaresResult< S >::diagnostics = {}

Present exactly on success, including rank zero.

info

template<RealOrComplex S>

LeastSquaresInfo uni20::linalg::SvdLeastSquaresResult< S >::info = {}

residual_norms

template<RealOrComplex S>

std::vector<make_real_t<S> > uni20::linalg::SvdLeastSquaresResult< S >::residual_norms = {}

Recomputed Euclidean residual norm per RHS, in working precision; not an error bound.

solution

template<RealOrComplex S>

std::optional<DenseMatrix<S> > uni20::linalg::SvdLeastSquaresResult< S >::solution = {}

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The documentation for this struct was generated from the following file:

• ops/svd_least_squares.hpp