基于visual Studio2013解决C语言竞赛题之0610冒泡排序函数

时间:2021-07-25 22:14:27


基于visual Studio2013解决C语言竞赛题之0610冒泡排序函数

题目

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解决代码及点评


/*
10. 写一主函数输入一数组,写一子函数实现对该数组的冒泡排序并输出。
*/ #include <stdio.h>
#include <stdlib.h>
const int N=10;
void f610(int *p)//冒泡排序
{
for (int i=0;i<N;i++)
{
for (int j=0;j<N;j++) // 冒泡比较
{
if (p[i]>p[j])
{
int temp;
temp=p[i];
p[i]=p[j];
p[j]=temp;
}
}
}
}
void main()
{ int a[N];
for (int i=0;i<N;i++) // 初始化数组
{
a[i]=rand();
printf("%d\t",a[i]);
} f610(a); // 进行排序 for (int i=0;i<N;i++) // 输出结果
{
printf("%d\t",a[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0610冒泡排序函数

2)选择工程

基于visual Studio2013解决C语言竞赛题之0610冒泡排序函数

3)创建完工程如下图:

基于visual Studio2013解决C语言竞赛题之0610冒泡排序函数

4)增加文件,右键点击项目

基于visual Studio2013解决C语言竞赛题之0610冒泡排序函数

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0610冒泡排序函数

6)添加文件

基于visual Studio2013解决C语言竞赛题之0610冒泡排序函数

7)拷贝代码与运行

基于visual Studio2013解决C语言竞赛题之0610冒泡排序函数

程序运行结果

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" 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