/* filename: gaussian.java *//* This code is part of the localize package of TeamBots. * Copyright (c) 1999, 2000 by John Sweeney and Carnegie Mellon University *//* this was adpated from scott lenser's code.*/package EDU.cmu.cs.coral.localize;/*things a gaussian needs*/public abstract class Gaussian {    protected static long randSeed=2; //seed value for all rands in this gaussian  protected int numVars;  protected double [] mean;  protected double [] dev;      public Gaussian(long seed) {	numVars = 1;	mean = new double[numVars];	dev = new double[numVars];	for (int i = 0;i < numVars; i++) {	    mean[i] = 0.0;	    dev[i] = 1.0;	}	randSeed = seed;    }  public Gaussian() {	numVars = 1;	mean = new double[numVars];	dev = new double[numVars];	for (int i = 0;i < numVars; i++) {	    mean[i] = 0.0;	    dev[i] = 1.0;	}    }    public void init(int nv) {	numVars = nv;        mean = new double[numVars];    dev = new double[numVars];        for (int i =0 ; i < numVars; i++) {      mean[i] = 0.0;      dev[i] = 1.0;    }  }     public Gaussian(int nv, long seed) {    numVars = nv;        mean = new double[numVars];    dev = new double[numVars];        for (int i =0 ; i < numVars; i++) {      mean[i] = 0.0;      dev[i] = 1.0;    }    randSeed = seed;  }    public Gaussian(int nv) {    numVars = nv;        mean = new double[numVars];    dev = new double[numVars];        for (int i =0 ; i < numVars; i++) {      mean[i] = 0.0;      dev[i] = 1.0;    }  }    public int getNumVars() { return numVars;}    public void setMean(int i, double mn) {mean[i] = mn;} //set the mean for var i  public void setDev(int i, double dv) {dev[i] = dv;} //set the standard deviation for var i    public double getMean(int i) { return mean[i]; }  public double getDev(int i) { return dev[i]; }  public long getSeed() { return randSeed;}  public void setSeed(long s) { randSeed = s;}}