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Matrix data structures, linear solvers, least squares methods, eigenvalue, and singular value decompositions. For larger random dense matrices (above ~ 350 x 350) matrix-matrix multiplication C = A.B is about 50% faster than MTJ.

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/*
 * 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;

/**
 * The job the singular value solvers are to do. This only limits which singular
 * vectors are computed, all the singular values are always computed.
 */
enum JobSVD {

    /** Compute all of the singular vectors */
    All,

    /** Do not compute any singular vectors */
    None,

    /**
     * Overwrite passed data. For an M*N matrix, this either
     * overwrites the passed matrix with as many singular vectors as there is
     * room for. Details depend on the actual algorithm
     */
    Overwrite,

    /**
     * Compute parts of the singular vectors. For an M*N matrix,
     * this computes min(M,N) singular vectors
     */
    Part;

    /**
     * @return the netlib character version of this designation, for use with
     *         F2J.
     */
    public String netlib() {
        switch (this) {
            case All :
                return "A";
            case Part :
                return "S";
            case Overwrite :
                return "O";
            default :
                return "N";
        }
    }
}