/*
* 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();
}
}