题目
aaarticlea/png;base64,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" alt="" />
解决代码及点评
/************************************************************************/
/*
6． 用选择法对10个整数由大到小排序。
*/
/************************************************************************/
#include <stdio.h>
#include <stdlib.h> void SortSelect(int * arr,int num)
{
for (int i=0;i<num;i++) // 遍历所有数
{
int min=i;
for (int j=i+1;j<num;j++) // 被遍历的那个数，和它后面的所有数进行比较，找出最小的那个数
{
if (arr[j]<arr[min])
{
min=j;
}
}
if (min!=i) // 最后作交换，把当前最小的数换到当前i的位置
{
arr[min]^=arr[i];
arr[i]^=arr[min];
arr[min]^=arr[i];
}
}
}
void printfArr6(int *arr ,int n)
{
for (int i=0;i<n;i++)
{
printf("%4d",arr[i]);
}
printf("\n");
}
void main()
{
int arr[100]={0};
for (int i=0;i<100;i++)
{
arr[i]=rand()%100; // 产生100个随机数
}
printfArr6(arr,100); SortSelect(arr,100); // 选择排序
printfArr6(arr,100);
system("pause");
}
代码下载及其运行
代码下载链接：
http://download.csdn.net/detail/yincheng01/6651959
解压密码为c.itcast.cn
下载解压后用VS2013打开工程文件
点击 “本地Windows调试器” 执行
程序运行结果
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" 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