java實作标準正态分布

import java.util.*;

public class zheng0_1 {

public static void main(String[] args) {

double zhengtai0_1;

java.util.Random r = new java.util.Random();

for(int i=0;i<20; i++) {

zhengtai0_1 = r.nextGaussian();

System.out.println(zhengtai0_1);

}

}

}

Java内部實作：标準正态分布。即：Polar Method方法

public double nextDouble() {

        return (((long)(next(26)) << 27) + next(27))

        / (double)(1L << 53);

}

    private double nextNextGaussian;

private boolean haveNextNextGaussian = false;

synchronized public double nextGaussian() {

        // See Knuth, ACP, Section 3.4.1 Algorithm C.

        if (haveNextNextGaussian) {

        haveNextNextGaussian = false;

        return nextNextGaussian;

    } else {

            double v1, v2, s;

        do {

                v1 = 2 * nextDouble() - 1; // between -1 and 1

              v2 = 2 * nextDouble() - 1; // between -1 and 1

                s = v1 * v1 + v2 * v2;

         } while (s >= 1 || s == 0);

        double multiplier = StrictMath.sqrt(-2 * StrictMath.log(s)/s);

        nextNextGaussian = v2 * multiplier;

        haveNextNextGaussian = true;

        return v1 * multiplier;

        }

    }