/*
* Copyright (c) 2009-2012, Peter Abeles. All Rights Reserved.
*
* This file is part of Efficient Java Matrix Library (EJML).
*
* EJML 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 3
* of the License, or (at your option) any later version.
*
* EJML 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 EJML. If not, see <http://www.gnu.org/licenses/>.
*/
package org.ejml.alg.dense.linsol.chol;
import org.ejml.alg.dense.decomposition.chol.CholeskyDecompositionInner;
import org.junit.Test;
/**
* @author Peter Abeles
*/
public class TestLinearSolverChol {
@Test
public void standardTests() {
CholeskyDecompositionInner alg = new CholeskyDecompositionInner(true);
LinearSolverChol solver = new LinearSolverChol(alg);
BaseCholeskySolveTests tests = new BaseCholeskySolveTests();
tests.standardTests(solver);
}
}