分布式 反熵

介绍：n个离散值，经过数次循环，各个离散值无限接近于n值的平均值

#include 
#include 
#include 
#include  
#include   
using namespace std;

int main() {
    srand((unsigned)time(NULL));
    int n,t;
    double sum=0;
    n = 10 + rand() % 10;
    t = 10 + rand() % 10;
    cout << "总共" << n << "个点" <<"循环"<"次"<< endl;
    vector<double> v(n);
    cout << "初始值：" << endl;
    for (int i = 0; i < n; i++) {
        double temp = 1 + rand() % 99;
        v[i] = temp;
        sum += temp;
        cout << temp << " ";
    }
    cout << endl;
    for (int i = 0; i for (int j = 0; j < n; j++) {
            int jj = 0 + rand() % n;
            v[j] = (v[j] + v[jj]) / 2;
            v[jj] = v[j];
        }
        cout << "第" << i + 1 << "次循环后：" << endl;
        for (int j = 0; j < n; j++)
        {
            cout << v[j] << " ";
        }
        cout << endl;
    }
    cout << endl;
    cout << "预设平均值：" << sum / n << endl;
    system("pause");
    return 0;
}