/*
* Copyright (C) 2003-2006 Bjørn-Ove Heimsund
*
* This file is part of MTJ.
*
* This library is free software; you can redistribute it and/or modify it
* under the terms of the GNU Lesser General Public License as published by the
* Free Software Foundation; either version 2.1 of the License, or (at your
* option) any later version.
*
* This library is distributed in the hope that it will be useful, but WITHOUT
* ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
* FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License
* for more details.
*
* You should have received a copy of the GNU Lesser General Public License
* along with this library; if not, write to the Free Software Foundation,
* Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*/
package no.uib.cipr.matrix;
import no.uib.cipr.matrix.LowerSymmBandMatrix;
import no.uib.cipr.matrix.NotConvergedException;
import no.uib.cipr.matrix.SymmBandEVD;
import no.uib.cipr.matrix.UpperSymmBandMatrix;
/**
* Test of the symmetric, tridiagonal eigenvalue solver
*/
public class SymmBandEigenvalueTest extends SymmEigenvalueTestAbstract {
private LowerSymmBandMatrix L;
private UpperSymmBandMatrix U;
public SymmBandEigenvalueTest(String arg0) {
super(arg0);
}
@Override
protected void setUp() throws Exception {
super.setUp();
int kd = Utilities.getInt(1, A.numRows());
L = new LowerSymmBandMatrix(A, kd);
U = new UpperSymmBandMatrix(A, kd);
}
@Override
protected void tearDown() throws Exception {
super.tearDown();
L = null;
U = null;
}
public void testLowerStaticFactorize() throws NotConvergedException {
SymmBandEVD evd = SymmBandEVD.factorize(L, L.numSubDiagonals());
assertEquals(L, evd.getEigenvalues(), evd.getEigenvectors());
}
public void testUpperStaticFactorize() throws NotConvergedException {
SymmBandEVD evd = SymmBandEVD.factorize(U, U.numSuperDiagonals());
assertEquals(U, evd.getEigenvalues(), evd.getEigenvectors());
}
public void testLowerFactor() throws NotConvergedException {
SymmBandEVD evd = new SymmBandEVD(A.numRows(), false);
evd.factor(L.copy());
assertEquals(L, evd.getEigenvalues(), evd.getEigenvectors());
}
public void testUpperFactor() throws NotConvergedException {
SymmBandEVD evd = new SymmBandEVD(A.numRows(), true);
evd.factor(U.copy());
assertEquals(U, evd.getEigenvalues(), evd.getEigenvectors());
}
public void testLowerRepeatFactor() throws NotConvergedException {
SymmBandEVD evd = new SymmBandEVD(A.numRows(), false);
evd.factor(L.copy());
assertEquals(L, evd.getEigenvalues(), evd.getEigenvectors());
evd.factor(L.copy());
assertEquals(L, evd.getEigenvalues(), evd.getEigenvectors());
}
public void testUpperRepeatFactor() throws NotConvergedException {
SymmBandEVD evd = new SymmBandEVD(A.numRows(), true);
evd.factor(U.copy());
assertEquals(U, evd.getEigenvalues(), evd.getEigenvectors());
evd.factor(U.copy());
assertEquals(U, evd.getEigenvalues(), evd.getEigenvectors());
}
}