基于visual Studio2013解决C语言竞赛题之0703乾坤大挪移
题目
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hvtQfsK9M8QdUzyHpgnuev9IbhLh/922HDMAzDMAxP8XH/YvQwDMMwDMMrmJegYRiGYRi+kB8//gcBewgTpnH/0wAAAABJRU5ErkJggg==" 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解决代码及点评
/*
功能:有n个整数,使前面各数顺序向后移m个位置,最后m个数变成最前面m个数,
写一函数实现以上功能,在主函数中输入n个整数和输出调整后的n个数。 */ #include<stdio.h>
#include<stdlib.h> void moveA(int *,int,int); //按题意设计函数 void main(){
int a[15];
for (int i = 0; i < 15; i++)scanf_s("%d",a+i); //输入数组 int m; //m为移动的数
scanf_s("%d",&m); moveA(a,m,15);
for (int i = 0; i < 15; i++)printf("%3d", a[i]); //输出
system("pause");
} void moveA(int *pa, int m,int n){ //m为移动的数,n为数组的大小
int a[20] = {0}; //a用来储存pa后5个元素 for (int i = 0,*p=pa+n-1; i < m; p--,i++) //将pa的后5个元素存入a中
a[i] = *p; for (int *p = pa + n - 1; p >= pa + m; p--) //将n-m个元素一起向后移动m个位置
*p = *(p - m);
for (int i = 0, *p = a + m - 1; i < m; p--, i++)pa[i] =*p ;//将a中的m个元素存入pa的前m中 完成转换
}
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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" alt="" />
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