基于visual Studio2013解决C语言竞赛题之0710排序函数

时间:2023-12-14 11:41:38
基于visual Studio2013解决C语言竞赛题之0710排序函数

题目

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解决代码及点评


/*
10、用指向指针的指针的方法对N个整数排序并输出。
要求排序单独写成一个函数。N个整数和N在主程序中输入,最后在主函数中输出。
*/
#include <stdio.h>
#include <stdlib.h>
#define N 10
void main()
{
int num[N], *pnum[N], **pp;
for(int i=0;i<10;i++) // 初始化数组,赋值N个100以内整数,让pnum指向对应的值
{
num[i]=rand()%100;
printf("%d\t",num[i]);
pnum[i] = &num[i];
} pp = pnum; // 双重指针pp指向pnum
for(int i=0;i<10;i++) // 使用冒泡排序
for(int j=i+1;j<10;j++)
{
if(**(pp+i)>=**(pp+j))
{ // 交换两个元素的值
int temp = **(pp+i);
**(pp+i) = **(pp+j);
**(pp+j) = temp;
}
}
for(int i=0;i<10;i++) // 打印排序后的结果
printf("%d\t",**(pp+i)); system("pause");
}

代码编译以及运行

由于资源上传太多,资源频道经常被锁定无法上传资源,同学们可以打开VS2013自己创建工程,步骤如下:

1)新建工程

基于visual Studio2013解决C语言竞赛题之0710排序函数

2)选择工程

基于visual Studio2013解决C语言竞赛题之0710排序函数

3)创建完工程如下图:

基于visual Studio2013解决C语言竞赛题之0710排序函数

4)增加文件,右键点击项目

基于visual Studio2013解决C语言竞赛题之0710排序函数

5)在弹出菜单里做以下选择

基于visual Studio2013解决C语言竞赛题之0710排序函数

6)添加文件

基于visual Studio2013解决C语言竞赛题之0710排序函数

7)拷贝代码与运行

基于visual Studio2013解决C语言竞赛题之0710排序函数

程序运行结果

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" alt="" />