基于visual Studio2013解决C语言竞赛题之0501挑选素数









题目

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解决代码及点评

这道题练习数组的遍历

/************************************************************************/
/*
1.有一个正整数数组，包含N个元素，要求编程求出其中的素数之和以及所有素数的平均值。
*/
/************************************************************************/
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
bool  IsSuShu(int num)
{	if (num<2)
return false;
for (int i=2;i<=sqrt((double)num);i++)
{
	if (num%i==0)
	{
		return false;
	}
}
return true;
}
void main()
{	int num=0;
int sum=0;
const int N=10;
int arr[N]={0};
for (int i=0;i<N;i++)
{
	arr[i]=rand()%10;  // 获取随机数
	printf("%3d",arr[i]);
	if (IsSuShu(arr[i]))   // 判断是否素数，如果是，则累加，并计数
	{
		num++;  // 计数
		sum+=arr[i]; // 累加
	}
}

printf("共有素数%d个 和为%d 平均数为%f",num,sum,sum/(num*1.0));  // 输出结果
system("pause");
}

代码下载及其运行

代码下载链接：

http://download.csdn.net/detail/yincheng01/6651895

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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" alt="" />