Java tutorial
/* =========================================================== * JFreeChart : a free chart library for the Java(tm) platform * =========================================================== * * (C) Copyright 2000-2014, by Object Refinery Limited and Contributors. * * Project Info: http://www.jfree.org/jfreechart/index.html * * 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., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, * USA. * * [Oracle and Java are registered trademarks of Oracle and/or its affiliates. * Other names may be trademarks of their respective owners.] * * --------------------------------- * NormalDistributionFunction2D.java * --------------------------------- * (C)opyright 2004-2014, by Object Refinery Limited. * * Original Author: David Gilbert (for Object Refinery Limited); * Contributor(s): -; * * Changes * ------- * 25-May-2004 : Version 1 (DG); * 21-Nov-2005 : Added getters for the mean and standard deviation (DG); * 12-Feb-2009 : Precompute some constants from the function - see bug * 2572016 (DG); * 28-May-2009 : Implemented equals() and hashCode(), and added serialization * support (DG); * */ package org.jfree.data.function; import java.io.Serializable; import org.jfree.chart.HashUtilities; /** * A normal distribution function. See * http://en.wikipedia.org/wiki/Normal_distribution. */ public class NormalDistributionFunction2D implements Function2D, Serializable { /** The mean. */ private double mean; /** The standard deviation. */ private double std; /** Precomputed factor for the function value. */ private double factor; /** Precomputed denominator for the function value. */ private double denominator; /** * Constructs a new normal distribution function. * * @param mean the mean. * @param std the standard deviation (> 0). */ public NormalDistributionFunction2D(double mean, double std) { if (std <= 0) { throw new IllegalArgumentException("Requires 'std' > 0."); } this.mean = mean; this.std = std; // calculate constant values this.factor = 1 / (std * Math.sqrt(2.0 * Math.PI)); this.denominator = 2 * std * std; } /** * Returns the mean for the function. * * @return The mean. */ public double getMean() { return this.mean; } /** * Returns the standard deviation for the function. * * @return The standard deviation. */ public double getStandardDeviation() { return this.std; } /** * Returns the function value. * * @param x the x-value. * * @return The value. */ @Override public double getValue(double x) { double z = x - this.mean; return this.factor * Math.exp(-z * z / this.denominator); } /** * Tests this function for equality with an arbitrary object. * * @param obj the object (<code>null</code> permitted). * * @return A boolean. */ @Override public boolean equals(Object obj) { if (!(obj instanceof NormalDistributionFunction2D)) { return false; } NormalDistributionFunction2D that = (NormalDistributionFunction2D) obj; if (this.mean != that.mean) { return false; } if (this.std != that.std) { return false; } return true; } /** * Returns a hash code for this instance. * * @return A hash code. */ @Override public int hashCode() { int result = 29; result = HashUtilities.hashCode(result, this.mean); result = HashUtilities.hashCode(result, this.std); return result; } }