/* * Encog(tm) Core v3.4 - Java Version * http://www.heatonresearch.com/encog/ * https://github.com/encog/encog-java-core * Copyright 2008-2016 Heaton Research, Inc. * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * * For more information on Heaton Research copyrights, licenses * and trademarks visit: * http://www.heatonresearch.com/copyright */ package org.encog.mathutil.randomize.generate; /** * Provides the ability for subclasses to generate normally distributed random numbers. */ public abstract class AbstractBoxMuller extends AbstractGenerateRandom { /** * The y2 value. */ private double y2; /** * Should we use the last value. */ private boolean useLast = false; /** * The mean. */ public static final double MU = 0; /** * The standard deviation. */ private static final double SIGMA = 1; /** * {@inheritDoc} */ @Override public double nextGaussian() { double x1; double x2; double w; final double y1; // use value from previous call if (this.useLast) { y1 = this.y2; this.useLast = false; } else { do { x1 = 2.0 * nextDouble() - 1.0; x2 = 2.0 * nextDouble() - 1.0; w = x1 * x1 + x2 * x2; } while (w >= 1.0); w = Math.sqrt((-2.0 * Math.log(w)) / w); y1 = x1 * w; this.y2 = x2 * w; this.useLast = true; } return (AbstractBoxMuller.MU + y1 * AbstractBoxMuller.SIGMA); } }