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.ejml.calculation;
025    
026    import org.ejml.alg.dense.decomposition.DecompositionFactory;
027    import org.ejml.alg.dense.decomposition.SingularValueDecomposition;
028    import org.ujmp.core.Matrix;
029    import org.ujmp.ejml.EJMLDenseDoubleMatrix2D;
030    
031    public class SVD
032                    implements
033                    org.ujmp.core.doublematrix.calculation.general.decomposition.SVD<Matrix> {
034    
035            public static SVD INSTANCE = new SVD();
036    
037            public Matrix[] calc(Matrix source) {
038                    SingularValueDecomposition svd = DecompositionFactory.svd();
039    
040                    if (source instanceof EJMLDenseDoubleMatrix2D) {
041                            svd
042                                            .decompose(((EJMLDenseDoubleMatrix2D) source)
043                                                            .getWrappedObject());
044                    } else {
045                            svd.decompose(new EJMLDenseDoubleMatrix2D(source)
046                                            .getWrappedObject());
047                    }
048                    Matrix u = new EJMLDenseDoubleMatrix2D(svd.getU());
049                    Matrix v = new EJMLDenseDoubleMatrix2D(svd.getV());
050                    Matrix s = new EJMLDenseDoubleMatrix2D(svd.getW(null));
051                    return new Matrix[] { u, s, v };
052            }
053    
054    }