num::EigenResult Struct Reference

Full eigendecomposition result: A = V * diag(values) * V^T. More...

#include <jacobi_eig.hpp>

Public Attributes
Vector	values
	Eigenvalues in ascending order.
Matrix	vectors
	Eigenvectors as columns of an nxn orthogonal matrix.
idx	sweeps = 0
	Number of Jacobi sweeps performed.
bool	converged = false
	Whether off-diagonal norm fell below tol.

Detailed Description

Full eigendecomposition result: A = V * diag(values) * V^T.

Definition at line 30 of file jacobi_eig.hpp.

Member Data Documentation

converged

bool num::EigenResult::converged = false

Whether off-diagonal norm fell below tol.

Definition at line 34 of file jacobi_eig.hpp.

sweeps

idx num::EigenResult::sweeps = 0

Number of Jacobi sweeps performed.

Definition at line 33 of file jacobi_eig.hpp.

values

Vector num::EigenResult::values

Eigenvalues in ascending order.

Definition at line 31 of file jacobi_eig.hpp.

Referenced by num::lanczos().

vectors

Matrix num::EigenResult::vectors

Eigenvectors as columns of an nxn orthogonal matrix.

Definition at line 32 of file jacobi_eig.hpp.

Referenced by num::lanczos().

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

• /home/runner/work/numerics/numerics/include/linalg/eigen/jacobi_eig.hpp