/* * Copyright (C) 2008-2015 by Holger Arndt * * This file is part of the Universal Java Matrix Package (UJMP). * See the NOTICE file distributed with this work for additional * information regarding copyright ownership and licensing. * * UJMP 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 * of the License, or (at your option) any later version. * * UJMP 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 UJMP; if not, write to the * Free Software Foundation, Inc., 51 Franklin St, Fifth Floor, * Boston, MA 02110-1301 USA */ package org.ujmp.core.doublematrix.calculation.entrywise.creators; import org.ujmp.core.Matrix; import org.ujmp.core.doublematrix.calculation.AbstractDoubleCalculation; import org.ujmp.core.util.MathUtil; public class Randn extends AbstractDoubleCalculation { private static final long serialVersionUID = 3846626738610954086L; private double mean = 0.0; private double sigma = 1.0; public Randn(Matrix matrix) { super(matrix); } public Randn(Matrix matrix, double mean, double sigma) { super(matrix); this.mean = mean; this.sigma = sigma; } public double getDouble(long... coordinates) { return MathUtil.nextGaussian(mean, sigma); } }