题目
解决代码及点评
/*
功能：打印出3到1100之间的全部素数（判素数由函数实现 */ #include<stdio.h>
#include<stdlib.h>
#include<math.h> int judgPri(int); //判断参数是否为素数，是返回1，否返回0 void main()
{
for (int i = 3; i < 1100; i++){ //遍历3---1100
int flag = judgPri(i); // 判断是否素数
if (flag == 1)
printf("%-6d\n",i); // 如果是素数则打印
}
system("pause");
} int judgPri(int n){
int flag = 1;
if (n == 2 || n == 3){
return 1;
}
else{
for (int i = 2; i <= (int)sqrt((double)n); i++){
if (n%i == 0){
return 0; //如果因数跳出循环，返回0
}
}
}
return flag;
}
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
2）选择工程
3）创建完工程如下图：
4）增加文件，右键点击项目
5）在弹出菜单里做以下选择
6）添加文件
7）拷贝代码与运行
程序运行结果
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" 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