/* * Artificial Intelligence for Humans * Volume 1: Fundamental Algorithms * Java Version * http://www.aifh.org * http://www.jeffheaton.com * * Code repository: * https://github.com/jeffheaton/aifh * Copyright 2013 by Jeff Heaton * * 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 com.heatonresearch.aifh.examples.randomize; import com.heatonresearch.aifh.randomize.GenerateRandom; import com.heatonresearch.aifh.randomize.MersenneTwisterGenerateRandom; /** * Approximate PI by Monte Carlo. * <p/> * http://en.wikipedia.org/wiki/Monte_Carlo_method */ public class EvaluatePI { /** * Random number generator. */ private final GenerateRandom rnd = new MersenneTwisterGenerateRandom(); public void process() { long tries = 0; int success = 0; int lastUpdate = 0; double x, y; for (int i = 0; i < 1000000000; i++) { // pick a point at random. x = rnd.nextDouble(); y = rnd.nextDouble(); tries++; // was the point inside of a circle? if (x * x + y * y <= 1) success++; lastUpdate++; if (lastUpdate >= 1000000) { final double pi = 4 * (double) success / (double) tries; System.out.println("Tries=" + tries + ", pi=" + pi); lastUpdate = 0; } } } /** * The main method. * * @param args Not used. */ public static void main(final String[] args) { final EvaluatePI program = new EvaluatePI(); program.process(); } }