本文共 5505 字，大约阅读时间需要 18 分钟。

接口：

public interface hanshu {    void rand_lianxu_print(double a1,int []num,int n);    void choose_hanshu(int n,int []num,int m);    double Beta_Distribution(double alpha, double beta);//(1)    int Binomial_Distribution(double probaility, int N);//(2)    double Cauchy_Distribution(double a1,double x0, double lamda);//(3)参数：随机数（0-1）    double Chisquare_Distribution(int k, double mean, double sigama);//(4)    double Constantreal_Distribution(int i);//(5)---    double Enumerated_Distribution(int i);//(6)---    double Exponential_Distribution(double a1);//(7)    double F_Distribution(int n1, int n2,double normol_mean,double normol_sigama);//(8)    double Gamma_Distribution(int i);//(9)--    int Geometric_Distribution(double probaility);//（10）参数：k次成功的概率中介    double Gumbel_Distribution(double a1, double k, double miu, double sigma);//(11)    int Hypergeometric_Distribution(int N, int n,int m);//(12)    double Laplace_Distribution(double beta);//14    double Levy_Distribution(int i);//(15)---    double Logistic_Distribution(double a1);//16参数：随机数（0-1）    double MultivariateNormal_Distribution(int i);//(17)---    double Nakagami_Distribution(double possiblity,int r);//(18)    double Normal_Distribution(double mean, double sigama);//(19)    double Pareto_Distribution(int xmin,int k);//(20)    int Pascal_Distribution(double possiblity,int r);//(21)    int Possion_Distribution(int lamda);//(22)参数：lamda    double T_Distribution(int n1, double normol_mean,double normol_sigama);//(23)    double Triangular_Distribution(int a,int b, int c, double a1);//(24)    double UniformInteger_Distribution(int i);//(25)---    double UniformReal_Distribution(int i);//(26)---    double Weibull_Distribution(double a, double b);//(27)    double Zipf_Distribution(double a1);//28参数：随机数（0-1）}

主类：

import org.w3c.dom.ls.LSInput;import java.util.Arrays;import java.util.Scanner;import static java.lang.Math.log;import java.lang.Math.*;public class distribution
   
     implements hanshu{    private static final int Max = 1 << 10;    public static void main(String[] args) {        distribution z = new distribution();        int []num={0,0,0,0,0,0,0,0,0,0,                   0,0,0,0,0,0,0,0,0,0,                   0,0,0,0,0,0,0,0,0,0,                   0,0,0,0,0,0,0,0,0,0,0};//求频率个数        double x;        Scanner in = new Scanner(System.in);        System.out.println("请输入您要产生的随机数个数?");        int rand_num = in.nextInt();        System.out.println("请输入随机数符合的分布函数?（输入序号即可）");        System.out.println("1、Beta_Distribution;2、Binomial_Distribution3、Cauchy_Distribution");        int hanshu_choose = in.nextInt();        z.choose_hanshu(hanshu_choose,num,rand_num);//选择函数进行处理        //输出随机数个数        for(int i=0;i
    
     1.0){            u = Math.random();            v = Math.random();            x = Math.pow(u,1/alpha);            y = Math.pow(v,1/beta);        }        return x/(x+y);    }    @Override    public double Normal_Distribution(double mean, double sigama){        int i ;        double x=1.0,y;        for (i=0;i<12;i++){            x+=Math.random();        }        x = x-6.0;        y = mean+x*sigama;        return y;    }    @Override    public double Chisquare_Distribution(int k, double mean, double sigama){        double dv = 0.0;        for (int i=0;i
     
      0){            if(Math.random()
      
       r){                break;            }        }        return k;    }    @Override    public double Triangular_Distribution(int a,int b, int c, double a1){        if(a1>=a&&a1<=c){            return a+(a1*(b-a)*(c-a)/2);        }        else if (a1>=c&&a1<=b){            return b-(a1*(b-a)*(b-c)/2);        }        else return 0;    }    @Override    public double Constantreal_Distribution(int i){return 1.0;}    @Override    public double Enumerated_Distribution(int i){return 1.0;}    @Override    public double Levy_Distribution(int i){return 1.0;}    @Override    public double MultivariateNormal_Distribution(int i){return 1.0;}    @Override    public double UniformInteger_Distribution(int i){return 1.0;}    @Override    public double UniformReal_Distribution(int i){return 1.0;}    //验证随机数并返回区间概率    @Override    public void rand_lianxu_print(double a1,int []num,int n){        double i= -5.0;        int j=0;        if (a1>0){            System.out.println(a1);        }        while(i<5.1){            if(a1>=i&&a1<=i+0.5){                num[j]++;                break;            }            j++;            i = i+0.5;        }    }    @Override    public void rand_lianxu_print_1(double a1,int []num,int n,double c){        double i= 0.5,k,k1;        int j=0;        if (a1>0){            System.out.println(a1+"hahahahaha");        }        while(i<10){            k = Math.log(i+0.5/(0.5-i));            k1 = Math.log(i+0.55/(0.55-i));            System.out.println(k+"k");             System.out.println(k1+"k1");            if(a1>=k&&a1<=k1){                num[j]++;                break;            }            j++;            i = i+0.05;        }    }    @Override    public double rand_lianxu_print_2(double a1){        return 1/(1+Math.exp(-a1));    }    @Override    public void choose_hanshu(int n,int []num,int m){        Scanner in = new Scanner(System.in);        switch (n){            case 1:                System.out.println("请输入参数alpha和beta");                double alpha = in.nextDouble();                double beta = in.nextDouble();                double x;                for(int i=0;i
      
     
    
   

持续更新中。

Java新手，请大佬对有问题的地方评论指点