Structure for Singular Value Decomposition (SVD) of matrices: A=U*W*V^T. More...

#include <mirml_nr.h>

Data Fields
int	decomp
	A flag indicating whether the decomposition has been done.

mirkl_size_t	m
	Number of rows processed in input matrix. This is not necessarily the total number of rows in input matrix!

mirkl_size_t	n
	Number of columns processed in input matrix. This is not necessarily the total number of columns in input matrix!

mirml_matrix_t *	u
	The matrix U in SVD.

mirml_matrix_t *	v
	The matrix V (not the transpose V^T) in SVD.

mirml_vector_t *	w
	The diagonal matrix of singular values W as vector.

double	wmax
	Maximal singular value.

double	eps
	Floating-point precision.

double	tsh
	Threshold for the smallest singular value.

int	niter_max
	Maximal number of iterations allowed in SVD.

int	rank
	Rank of A.

int	nullity
	Nullity of A.

double	cond_inv
	Inverted condition number.

Detailed Description

Structure for Singular Value Decomposition (SVD) of matrices: A=U*W*V^T.

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

Data Fields