/*
* 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.LowerSymmPackMatrix;
import no.uib.cipr.matrix.NotConvergedException;
import no.uib.cipr.matrix.SymmPackEVD;
import no.uib.cipr.matrix.UpperSymmPackMatrix;
/**
* Test of the symmetric, dense eigenvalue solver
*/
public class SymmPackEigenvalueTest extends SymmEigenvalueTestAbstract {
private LowerSymmPackMatrix L;
private UpperSymmPackMatrix U;
public SymmPackEigenvalueTest(String arg0) {
super(arg0);
}
@Override
protected void setUp() throws Exception {
super.setUp();
L = new LowerSymmPackMatrix(A);
U = new UpperSymmPackMatrix(A);
}
@Override
protected void tearDown() throws Exception {
super.tearDown();
L = null;
U = null;
}
public void testLowerStaticFactorize() throws NotConvergedException {
SymmPackEVD evd = SymmPackEVD.factorize(L);
assertEquals(L, evd.getEigenvalues(), evd.getEigenvectors());
}
public void testUpperStaticFactorize() throws NotConvergedException {
SymmPackEVD evd = SymmPackEVD.factorize(U);
assertEquals(U, evd.getEigenvalues(), evd.getEigenvectors());
}
public void testLowerFactor() throws NotConvergedException {
SymmPackEVD evd = new SymmPackEVD(A.numRows(), false);
evd.factor(L.copy());
assertEquals(L, evd.getEigenvalues(), evd.getEigenvectors());
}
public void testUpperFactor() throws NotConvergedException {
SymmPackEVD evd = new SymmPackEVD(A.numRows(), true);
evd.factor(U.copy());
assertEquals(U, evd.getEigenvalues(), evd.getEigenvectors());
}
public void testLowerRepeatFactor() throws NotConvergedException {
SymmPackEVD evd = new SymmPackEVD(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 {
SymmPackEVD evd = new SymmPackEVD(A.numRows(), true);
evd.factor(U.copy());
assertEquals(U, evd.getEigenvalues(), evd.getEigenvectors());
evd.factor(U.copy());
assertEquals(U, evd.getEigenvalues(), evd.getEigenvectors());
}
}