synaps/linalg/Svd.h File Reference

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Detailed Description

Generic Singular Value Decomposition.

Definition in file Svd.h.

Go to the source code of this file.

Functions
template<class M>
VectDse< typename realof< typename M::value_type >::T >	Svd (M &A)
	Singular Value Decomposition.
template<class M>
VectDse< typename realof< typename M::value_type >::T >	Svd (M &A, M &U)
	Singular Value decomposition, with left factor.
template<class M>
VectDse< typename realof< typename M::value_type >::T >	Svd (M &A, M &U, M &V)
template<class M>
VectDse< typename realof< typename M::value_type >::T >	Svdx (M &A, M &U, M &V)
template<class M>
M::value_type	Cond (M &A)

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Function Documentation

template<class M>

M::value_type Cond

(

M &

A

)

Condition number based on Svd. It returns the largest singular value, divided by the smallest.

Definition at line 80 of file Svd.h.

template<class M>

VectDse<typename realof<typename M::value_type>::T> Svd	(	M &	A,
		M &	U,
		M &	V
	)

Singular Value decomposition, with left and right orthogonal factor. We have A= U\, Diag(S) \, V.

Definition at line 47 of file Svd.h.

template<class M>

VectDse<typename realof<typename M::value_type>::T> Svd	(	M &	A,
		M &	U
	)

Singular Value decomposition, with left factor.

Definition at line 33 of file Svd.h.

template<class M>

VectDse<typename realof<typename M::value_type>::T> Svd

(

M &

A

)

Singular Value Decomposition.

Definition at line 22 of file Svd.h.

template<class M>

VectDse<typename realof<typename M::value_type>::T> Svdx	(	M &	A,
		M &	U,
		M &	V
	)

Singular Value decomposition, with left and orthogonal right factor. We have A= U \, V.

Definition at line 64 of file Svd.h.