基于visual Studio2013解决C语言竞赛题之0510求最大和

时间:2023-03-08 20:27:20
基于visual Studio2013解决C语言竞赛题之0510求最大和

题目

aaarticlea/png;base64,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" alt="" />

解决代码及点评


/************************************************************************/
/*
10. 有一个二维数组整型数组中,每一行都有一个最大值,编程求出这些最大值以及它们的和 */
/************************************************************************/
#include <stdio.h>
#include <stdlib.h>
#include <math.h> void main()
{
int arr[10][10]={0};
int sum=0;
for (int i=0;i<10;i++)//赋随机值
{
for (int j=0;j<10;j++)
{
arr[i][j]=rand()%10;
}
}
for (int i=0;i<10;i++)//打印原始数据
{
for (int j=0;j<10;j++)
{
printf("%5d",arr[i][j]);
}
printf("\n");
}
for (int i=0;i<10;i++)
{ int max=arr[i][0];
for (int j=1;j<10;j++) // 寻找最大值
{
if (max<arr[i][j])
{
max=arr[i][j];
} }
printf("第%d行的最大值为%d",i+1,max); // 寻找到后打印
sum+=max; // 累加
printf("\n");
}
printf("每行最大值之和为%d",sum); system("pause");
}

代码下载及其运行

代码下载链接:

http://download.****.net/detail/yincheng01/6653811

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

基于visual Studio2013解决C语言竞赛题之0510求最大和

程序运行结果

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" 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