Package no.uib.cipr.matrix

Source Code of no.uib.cipr.matrix.DenseMatrixTest

/*
* 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.DenseMatrix;

/**
* Test of a dense matrix
*/
public class DenseMatrixTest extends MatrixTestAbstract {

    public DenseMatrixTest(String arg0) {
        super(arg0);
    }

    @Override
    protected void createPrimary() throws Exception {
        int n = Utilities.getInt(1, max);
        int m = Utilities.getInt(1, max);
        A = new DenseMatrix(n, m);
        Ad = Utilities.populate(A);
    }

    @Override
    public void testMatrixSolve() {
        if (A.isSquare())
            super.testMatrixSolve();
    }

    @Override
    public void testTransMatrixSolve() {
        if (A.isSquare())
            super.testTransMatrixSolve();
    }

    @Override
    public void testTransVectorSolve() {
        if (A.isSquare())
            super.testTransVectorSolve();
    }

    @Override
    public void testVectorSolve() {
        if (A.isSquare())
            super.testVectorSolve();
    }

  public void testIssue13(){
    Vector bv = Matrices.random(100);
    Matrix am = Matrices.random(100, 50);
    Vector xv = new DenseVector(am.numColumns());
    for (int x = 0; x < am.numColumns(); x++) {
      xv.set(x, 1);
    }
    xv = Matrices.random(xv.size());
    xv = am.solve(bv, xv);
  }
}
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