基于visual Studio2013解决C语言竞赛题之0509杨辉三角



题目

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CLl7VdwdY/O2/WN2uz8yP3xcbNrmXGyt681jhr96WlNb5ltb8cHbeT7pXW6terdl/XuejcxmXXYrvVVWK8o7I51ObjzZY4Lq6z1c/TuY3LrsV2q6vEeLP8eC9bQxYjG9uTzXGHkq+gdEN93RxZaja/6tJrO8vHlJk42bgVo/Fn5/dW9zgTuzVnNm6270xcr9ffrpmV9RjfrjZj7b14Xhx3tdE6sr0YjYvje/NprpZWjCeMYmsvrTXH8b35NFeLxrViRqNY2TW/htH8d3k8QQEA8Ldfv/4LqIUT0xD+XHwAAAAASUVORK5CYII=" 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解决代码及点评

/************************************************************************/
/*
9．	打印如下形式的杨辉三角形
1
1   1
1   2   1
1   3   3   1
1   4   6   4   1
1   5   10  10  5   1
输出前10行，从 0行开始，分别用一维数组和二维数组实现

*/
/************************************************************************/
#include <stdio.h>
#include <stdlib.h>
#include <math.h>

void main()
{
	int arr[10][10]={0};
	for (int i=0;i<10;i++)//赋值，杨辉三角主要是需要我们发现杨辉三角的规律，就是arr[i][j] = arr[i-1][j-1]+arr[i-1][j]，也就是说某行某列的值，等于它上一行的同列，以及前一列的值之和
	{
		for (int j=0;j<=i;j++)
		{
			if (j==0||i==j) // 这两个条件都是杨辉三角的边上，直接赋值即可
			{
				arr[i][j]=1;
			}
			else
				arr[i][j]=arr[i-1][j-1]+arr[i-1][j]; // 中间部分则用算法计算
			printf("%6d",arr[i][j]);
		}
		printf("\n");
	}

	system("pause");
}

代码下载及其运行

代码下载链接：

http://download.csdn.net/detail/yincheng01/6653803

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="" />