// File: RandTool.java // // Author: Rahul Simha // Created: Feb, 2008 // // Random generation tools. // This goes beyond UniformRandom.java in providing additional // distributions. import java.util.*; public class RandTool { // Basic Lehmer generator - constants static final long m = 2147483647L; static final long a = 48271L; static final long q = 44488L; static final long r = 3399L; static long r_seed = 12345678L; static Random rand = new Random (r_seed); public static void setSeed (long seed) { r_seed = seed; rand = new Random (r_seed); } // Basic Lehmer generator - uniform[0,1] // For more information see Knuth, Vol. II. public static double uniform () { long hi = r_seed / q; long lo = r_seed - q * hi; long t = a * lo - r * hi; if (t > 0) r_seed = t; else r_seed = t + m; return ( (double) r_seed / (double) m ); } // U[a,b] generator public static double uniform (double a, double b) { if (b > a) return ( a + (b-a) * uniform() ); else { System.out.println ("ERROR in uniform(double,double):a="+a+",b="+b); return 0; } } // Discrete Uniform random generator - returns an // integer between a and b public static long uniform (long a, long b) { if (b > a) { double x = uniform (); long c = ( a + (long) Math.floor((b-a+1)*x) ); return c; } else if (a == b) return a; else { System.out.println ("ERROR: in uniform(long,long):a="+a+",b="+b); return 0; } } public static int uniform (int a, int b) { return (int) uniform ((long) a, (long) b); } public static double exponential (double lambda) { return (1.0 / lambda) * (-Math.log(1.0 - uniform())); } public static double gaussian () { return rand.nextGaussian (); } public static double gaussian (double mean, double stdDeviation) { double x = gaussian (); return mean + x * stdDeviation; } } // End of class RandTool