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java.lang.Object | +--org.jutil.math.matrix.SchurEigenvalueDecomposition
A class of eigenvalue decomposers using an explict shift algorithm.
| Field Summary | |
static java.lang.String |
CVS_REVISION
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| Constructor Summary | |
SchurEigenvalueDecomposition(SchurDecomposition decomposition,
LinSolver linSolver)
public behavior pre decomposition != null; pre linSolver != null; post getLinSolver() == linSolver; Initialize a new SchurEigenvalueDecomposition with the given decomposition and LinSolver. |
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| Method Summary | |
double |
getEigenvalue(int index)
See superclass |
Column |
getEigenvalues()
See superclass |
Column |
getEigenvector(int index)
See superclass |
Matrix |
getEigenvectors()
See superclass |
LinSolver |
getLinSolver()
Return the LinSolver used to compute the eigenvectors. |
int |
getNbEigenvalues()
See superclass |
Matrix |
lambda()
See superclass |
| Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Field Detail |
public static final java.lang.String CVS_REVISION
| Constructor Detail |
public SchurEigenvalueDecomposition(SchurDecomposition decomposition,
LinSolver linSolver)
decomposition - The schur decomposition of the matrix.linSolver - The LinSolver to be used for calculating the eigenvectors.| Method Detail |
public Matrix lambda()
lambda in interface EigenvalueDecompositionpublic int getNbEigenvalues()
getNbEigenvalues in interface EigenvalueDecompositionpublic Matrix getEigenvectors()
getEigenvectors in interface EigenvalueDecompositionpublic Column getEigenvalues()
getEigenvalues in interface EigenvalueDecompositionpublic Column getEigenvector(int index)
getEigenvector in interface EigenvalueDecompositionorg.jutil.math.matrix.EigenvalueDecompositionindex - The index of the requested eigenvector.public double getEigenvalue(int index)
getEigenvalue in interface EigenvalueDecompositionorg.jutil.math.matrix.EigenvalueDecompositionindex - The index of the requested eigenvalue.public LinSolver getLinSolver()
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