SVD

Performs the singular value decomposition of a general matrix, taken and adapted from Numerical Recipes Third Edition svd.h. More...

Public Member Functions
	SVD (const NdArray &inMatrix)
	Constructor.
const Buffer< double > &	s () noexcept
	the resultant w matrix
Buffer< double >	solve (const Buffer< double > &inInput, double inThresh=-1.)
	solves the linear least squares problem
const NdArray &	u () noexcept
	the resultant u matrix
const NdArray &	v () noexcept
	the resultant v matrix

Detailed Description

Performs the singular value decomposition of a general matrix, taken and adapted from Numerical Recipes Third Edition svd.h.

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Definition at line 12 of file SVD.hpp.

Constructor & Destructor Documentation

SVD()

SVD::SVD ( const NdArray & inMatrix )

inlineexplicit

Constructor.

Parameters

inMatrix

matrix to perform SVD on

Definition at line 21 of file SVD.hpp.

Member Function Documentation

s()

const Buffer< double > & SVD::s ( )

inlinenoexcept

the resultant w matrix

Returns

s matrix

Definition at line 64 of file SVD.hpp.

solve()

Buffer< double > SVD::solve ( const Buffer< double > & inInput, double inThresh = -1. )

inline

solves the linear least squares problem

Parameters

inInput
inThresh	(default -1.)

Returns

NdArray

Definition at line 78 of file SVD.hpp.

u()

const NdArray & SVD::u ( )

inlinenoexcept

the resultant u matrix

Returns

u matrix

Definition at line 42 of file SVD.hpp.

v()

const NdArray & SVD::v ( )

inlinenoexcept

the resultant v matrix

Returns

v matrix

Definition at line 53 of file SVD.hpp.

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

• Base/Headers/SVD.hpp