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F_CgLS1_LS Class Reference

#include <F_CgLS1_LS.hpp>

Inheritance diagram for F_CgLS1_LS:

[legend]Collaboration diagram for F_CgLS1_LS:

[legend]List of all members.

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Detailed Description

CG for Linear Square problems.

Author:

Bernard De Cuyper

Version:

1.15

Date:

02/05/2004

 
Purpose:        Conjugate gradient for Linear Squared Problems

                [Yang97]"An Efficient Implementation of MCGLS Method for Sparse Least Squares Problems
                 on Massively Distributed Memory Computers.", 
                Tianruo Yang, Linkoping University, Sweden, 1997.

                

@ Copyrights: Bernard De Cuyper 2004, Eggs & Pictures. MIT/Open BSD copyright model.

Public Methods
	F_CgLS1_LS (int maxIterations, double epsilon=1.0e-4)
virtual	~F_CgLS1_LS ()
virtual FloatVector *	solve (AFloatMatrix *m, FloatVector *b, FloatVector *dest)
Protected Methods
virtual FloatVector *	singleSolve (AFloatMatrix *A, FloatVector *b, FloatVector *x=0)
Private Attributes
double	alpha
double	beta
double	gamma
FloatVector *	r
FloatVector *	p
FloatVector *	q
FloatVector *	s

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

• F_CgLS1_LS.hpp
• F_CgLS1_LS.cpp

Restoreinpaint sourceforge project `C++/Java Image Processing, Restoration, Inpainting Project'.

Bernard De Cuyper: Open Project Leader: Concept, design and development. Bernard De Cuyper & Eddy Fraiha 2002, 2003. Bernard De Cuyper 2004. Open and free, for friendly usage only. Modifications on Belgium ground of this piece of artistic work, by governement institutions or companies, must be notified to Bernard De Cuyper.