001    /*
002     * Copyright (C) 2008-2010 by Holger Arndt
003     *
004     * This file is part of the Universal Java Matrix Package (UJMP).
005     * See the NOTICE file distributed with this work for additional
006     * information regarding copyright ownership and licensing.
007     *
008     * UJMP is free software; you can redistribute it and/or modify
009     * it under the terms of the GNU Lesser General Public License as
010     * published by the Free Software Foundation; either version 2
011     * of the License, or (at your option) any later version.
012     *
013     * UJMP is distributed in the hope that it will be useful,
014     * but WITHOUT ANY WARRANTY; without even the implied warranty of
015     * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
016     * GNU Lesser General Public License for more details.
017     *
018     * You should have received a copy of the GNU Lesser General Public
019     * License along with UJMP; if not, write to the
020     * Free Software Foundation, Inc., 51 Franklin St, Fifth Floor,
021     * Boston, MA  02110-1301  USA
022     */
023    
024    package org.ujmp.core.doublematrix.calculation.basic;
025    
026    import org.ujmp.core.Coordinates;
027    import org.ujmp.core.Matrix;
028    import org.ujmp.core.MatrixFactory;
029    import org.ujmp.core.doublematrix.calculation.AbstractDoubleCalculation;
030    import org.ujmp.core.exceptions.MatrixException;
031    import org.ujmp.core.util.MathUtil;
032    
033    public class Divide extends AbstractDoubleCalculation {
034            private static final long serialVersionUID = 7228531369984022350L;
035    
036            private boolean ignoreNaN = false;
037    
038            public Divide(Matrix m1, Matrix m2) {
039                    this(true, m1, m2);
040            }
041    
042            public Divide(boolean ignoreNaN, Matrix m1, Matrix m2) {
043                    super(m1, m2);
044                    this.ignoreNaN = ignoreNaN;
045                    if (m2.isScalar() && !Coordinates.equals(m1.getSize(), m2.getSize())) {
046                            getSources()[1] = MatrixFactory.fill(m2.getAsDouble(0, 0), m1.getSize());
047                    } else if (m1.isScalar() && !Coordinates.equals(m1.getSize(), m2.getSize())) {
048                            getSources()[0] = MatrixFactory.fill(m1.getAsDouble(0, 0), m2.getSize());
049                    }
050            }
051    
052            public Divide(Matrix m1, double v2) throws MatrixException {
053                    this(m1, MatrixFactory.fill(v2, m1.getSize()));
054            }
055    
056            public Divide(boolean ignoreNaN, Matrix m1, double v2) throws MatrixException {
057                    this(ignoreNaN, m1, MatrixFactory.fill(v2, m1.getSize()));
058            }
059    
060            public Divide() {
061                    super();
062            }
063    
064            public double getDouble(long... coordinates) throws MatrixException {
065                    return ignoreNaN ? MathUtil.ignoreNaN(getSources()[0].getAsDouble(coordinates))
066                                    / MathUtil.ignoreNaN(getSources()[1].getAsDouble(coordinates)) : getSources()[0]
067                                    .getAsDouble(coordinates)
068                                    / getSources()[1].getAsDouble(coordinates);
069            }
070    
071    }