gov.sandia.cognition.math.matrix.mtj.decomposition

Class EigenDecompositionRightMTJ

java.lang.Object

gov.sandia.cognition.math.matrix.decomposition.AbstractEigenDecomposition

gov.sandia.cognition.math.matrix.mtj.decomposition.EigenDecompositionRightMTJ

All Implemented Interfaces:

EigenDecomposition

@CodeReview(reviewer="Kevin R. Dixon",date="2008-12-02",changesNeeded=false,comments={"Moved previous code review to annotation.","Otherwise, class looks fine."}) @CodeReview(reviewer="Justin Basilico",date="2006-07-27",changesNeeded=true,comments="The constructor should be changed to a static method because it involves significant computation.",response=@CodeReviewResponse(respondent="Kevin R. Dixon",date="2007-11-25",moreChangesNeeded=false,comments="Added static create() method, made constructor private"))
public class EigenDecompositionRightMTJ
extends AbstractEigenDecomposition

Computes the right (standard) eigendecomposition of the given matrix. Eigenvalues/vectors will be sorted in descending order. Does not provide complex eigenvectors; simply the magnitude of the eigenvector elements.

Since:

1.0

Author:

Kevin R. Dixon

Method Summary

Modifier and Type	Method and Description
static EigenDecompositionRightMTJ	create(DenseMatrix matrix) Creates a new instance of EigenDecompositionRightMTJ.

Methods inherited from class gov.sandia.cognition.math.matrix.decomposition.AbstractEigenDecomposition

getEigenValue, getEigenValues, getEigenVectorsImaginaryPart, getEigenVectorsRealPart, getLogDeterminant, setEigenDecomposition, setEigenValues, setEigenVectorsImaginaryPart, setEigenVectorsRealPart, setUnsortedEigenDecomposition, sortAndSetEigenDecomposition

Methods inherited from class java.lang.Object

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

Method Detail

create

public static EigenDecompositionRightMTJ create(DenseMatrix matrix)
                                         throws OperationNotConvergedException

Creates a new instance of EigenDecompositionRightMTJ.

Parameters:

matrix - DenseMatrix to compute the right EVD of

Returns:

new eigendecomposition that describes the given matrix

Throws:

OperationNotConvergedException - If the operation does not converge.