/*
* 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.sparse;
import no.uib.cipr.matrix.SymmDenseEVD;
import no.uib.cipr.matrix.sparse.Chebyshev;
/**
* Test of Chebyshev solver
*/
public class ChebyshevTest extends SPDIterativeSolverTestAbstract {
public ChebyshevTest(String arg0) {
super(arg0);
}
@Override
protected void createSolver() throws Exception {
// Get the extremal eigenvalues
SymmDenseEVD evd = SymmDenseEVD.factorize(A);
double[] eigs = evd.getEigenvalues();
double eigmin = 1, eigmax = 1;
if (eigs.length > 0) {
eigmin = eigs[0];
eigmax = eigs[eigs.length - 1];
}
solver = new Chebyshev(x, eigmin, eigmax);
}
}