gov.sandia.cognition.learning.algorithm.minimization.matrix

Class MatrixVectorMultiplierDiagonalPreconditioner

java.lang.Object

gov.sandia.cognition.learning.algorithm.minimization.matrix.MatrixVectorMultiplier

gov.sandia.cognition.learning.algorithm.minimization.matrix.MatrixVectorMultiplierWithPreconditioner

gov.sandia.cognition.learning.algorithm.minimization.matrix.MatrixVectorMultiplierDiagonalPreconditioner

All Implemented Interfaces:

Evaluator<Vector,Vector>

@PublicationReference(author="Jonathan Richard Shewchuk",
                      title="An Introduction to the Conjugate Gradient Method Without the Agonizing Pain",
                      type=WebPage,
                      year=1994,
                      url="http://www.cs.cmu.edu/~quake-papers/painless-conjugate-gradient.pdf\u200e")
public class MatrixVectorMultiplierDiagonalPreconditioner
extends MatrixVectorMultiplierWithPreconditioner

Implements a diagonal preconditioner for a matrix-vector multiplier.

Since:

4.0.0

Author:

Jeremy D. Wendt

Field Summary

Fields inherited from class gov.sandia.cognition.learning.algorithm.minimization.matrix.MatrixVectorMultiplier

m

Constructor Summary

Constructors

Constructor and Description
MatrixVectorMultiplierDiagonalPreconditioner(Matrix m) Creates a new MatrixVectorMultiplierDiagonalPreconditioner for the given matrix.

Method Summary

Methods inherited from class gov.sandia.cognition.learning.algorithm.minimization.matrix.MatrixVectorMultiplier

equals, evaluate, hashCode

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

MatrixVectorMultiplierDiagonalPreconditioner

public MatrixVectorMultiplierDiagonalPreconditioner(Matrix m)

Creates a new MatrixVectorMultiplierDiagonalPreconditioner for the given matrix.

Parameters:

m - The matrix.