• 自考新教材-p352_2


    源程序:

    用三种排序:冒泡排序,直接插入排序,直接选择排序

    #include <iostream>
    #define N 5
    using namespace std;

    template <typename T>
    //冒泡排序
    /*
    void bubble_sort(T a[], int n)
    {
    int i, j;
    T temp;
    for (i = 0; i < n; i++)
    {
    for (j = 0; j < n - i - 1; j++)
    {
    if (a[j] > a[j + 1])
    {
    temp = a[j];
    a[j] = a[j+1];
    a[j+1] = temp;

    }
    }
    }
    }
    */

    //直接插入排序
    /*
    void straight_sort(T a[], int n)
    {
    int i, j;
    T temp;
    for (i = 1; i < n; i++)
    {
    temp = a[i];
    j = i - 1;
    while (temp < a[j])
    {
    a[j + 1] = a[j];
    j--;
    }
    a[j + 1] = temp;
    }
    }
    */

    //直接选择排序
    void select_sort(T a[], int n)
    {
    int min, i, j;
    T temp;
    for (i = 0; i <= n - 1; i++)
    {
    min = i;
    for (j = i + 1; j < n; j++)
    if (a[j] < a[min])
    min = j;
    if (min != i)
    {
    temp = a[min];
    a[min] = a[i];
    a[i] = temp;
    }
    }
    }

    int main()
    {
    int num[N] = { 5,2,8,1,4 }, i;
    double num1[N] = {5.5,2.2,8.8,1.1,4.4};
    char num2[N] = {'m','p','b','w','h'};
    /*
    bubble_sort(num, N);
    for (i = 0; i < N; i++)
    cout << num[i] << " ";

    cout << endl;

    bubble_sort(num1, N);
    for (i = 0; i < N; i++)
    cout << num1[i] << " ";
    */
    /*
    straight_sort(num, N);
    for (i = 0; i < N; i++)
    cout << num[i] << " ";

    cout << endl;

    straight_sort(num1, N);
    for (i = 0; i < N; i++)
    cout << num1[i] << " ";
    */
    select_sort(num, N);
    for (i = 0; i < N; i++)
    cout << num[i] << " ";

    cout << endl;

    select_sort(num1, N);
    for (i = 0; i < N; i++)
    cout << num1[i] << " ";

    cout << endl;

    select_sort(num2, N);
    for (i = 0; i < N; i++)
    cout << num2[i] << " ";

    system("pause");
    return 1;
    }

    运行结果:

  • 相关阅读:
    手机端布局
    雪碧图优缺点
    es6的基本数据详解
    react生命周期函数
    第七周作业-使用Python实现抽样分布的验证(正态分布、卡方分布、T分布等)
    第六章统计量及其抽样分布
    Python实现概率分布(二项分布、伯努利分布、泊松分布、几何分布、正态分布等)
    4.概率与概率分布
    3.描述性统计
    统计学小组
  • 原文地址:https://www.cnblogs.com/duanqibo/p/12267601.html
Copyright © 2020-2023  润新知