/*
* 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.qr;
import org.ejml.alg.dense.decomposition.qr.QRColPivDecompositionHouseholderColumn;
import org.ejml.alg.dense.linsol.GenericLinearSolverChecks;
import org.ejml.alg.dense.linsol.GenericSolvePseudoInverseChecks;
import org.ejml.data.DenseMatrix64F;
import org.ejml.factory.LinearSolver;
import org.junit.Test;
/**
* @author Peter Abeles
*/
public class TestSolveLinearSolverQrpHouseCol extends GenericLinearSolverChecks {
public TestSolveLinearSolverQrpHouseCol() {
shouldFailSingular = false;
}
@Override
protected LinearSolver<DenseMatrix64F> createSolver( DenseMatrix64F A ) {
return new LinearSolverQrpHouseCol(new QRColPivDecompositionHouseholderColumn(),true);
}
@Test
public void checkSingularBasic() {
LinearSolver<DenseMatrix64F> solver =
new LinearSolverQrpHouseCol(new QRColPivDecompositionHouseholderColumn(),true);
GenericSolvePseudoInverseChecks checks = new GenericSolvePseudoInverseChecks(solver);
checks.all();
}
@Test
public void checkSingularFull() {
LinearSolver<DenseMatrix64F> solver =
new LinearSolverQrpHouseCol(new QRColPivDecompositionHouseholderColumn(),false);
GenericSolvePseudoInverseChecks checks = new GenericSolvePseudoInverseChecks(solver);
checks.all();
}
}