Juniorboy 发表于 2020-6-11 18:59:42

输出杨辉三角

本帖最后由 Juniorboy 于 2020-6-12 17:55 编辑

                                                                #include <stdio.h>
#include <stdlib.h>
int main(void)
{
        int** p = NULL;
        int a = 0, b = 0;
        printf("输入您要创建二维数组的行和列(a b) :");
        scanf_s("%d%d",&a,&b);
        p = (int**)malloc(sizeof(int*) * a);
        for (int i = 0; i < a; i++)
        {
                p = (int*)malloc(sizeof(int) * b);
        }
        //printf("——————————请输入二维数组的数据——————————");
        //printf("\n");
        //printf("请输入(默认数组初始化为0):");
        //printf("\n");
        //int c = 1 ;
        for (int i = 0; i < a; i++)
        {
                for (int j = 0; j < b; j++)
                {
                        int x = 0;
                        //scanf_s("%d", &x);
                        //p = x;       
                        p = 0;
                }
        }
                //printf("——————————数据录入完毕——————————");
                //printf("\n");
                //printf("数据如下:");
                //printf("\n");

                //for (int i = 0; i < a; i++)
                //{
                //        for (int j = 0; j < b; j++)
                //        {
                //               
                //                printf ("%6d ",p) ;
                //        }
                //        printf("\n");
                //}
                //printf("/*************************************************************************************************/");

                /*************************************************************************************************/

                printf("请输入您想要输出的杨辉三角的行数:");
                int s = 0;
                scanf_s("%d", &s);
                for (int i = 0; i < s; i++)
                        p = p = 1;

                for (int i = 2; i < s; i++)
                {
                        for (int k = 1; k < s; k++)
                        {
                                p = p + p;
                        }
                }

                for (int i = 0; i < s; i++)
                {
                        for ( intp = 0; p < 20 -i; p++)
                        {
                                printf("   ");
                        }
                        for (int j = 0; j < i + 1; j++)
                        {
                                printf("%6d", p);
                        }
                        printf("\n");
                }
                printf("\n");
                return 0;
}


我查了好几次也没找到问题所在,输出的结果是这样的,求解,谢谢啦

                                                                  1
                                                            1   1
                                                         1   2   1
                                                      1   3   3   1
                                                   1   4   6   4   1
                                                1   5    10    10   5   1
                                             1   6    15    20    15   6   1
                                          1   7    21    35    35    21   7   1
                                       1   8    28    56    70    56    28   8   1
                                    1   9    36    84   126   126    84    36   9   1
                                 1    10    45   120   210   252   210   120    45    10   1
                              1    11    55   165   330   462   462   330   165    55    11   1
                           1    12    66   220   495   792   924   792   495   220    66    12   1
                        1    13    78   286   7151287171617161287   715   286    78    13   1
                     1    14    91   3641001200230033432300320021001   364    91    14   1
                  1    15   105   45513653003500564356435500530031365   455   105    15   1
               1    16   120   560182043688008 11440 12870 11440800843681820   560   120    16   1
            1    17   136   68023806188 12376 19448 24310 24310 19448 1237661882380   680   136    17   1
         1    18   153   81630608568 18564 31824 43758 48620 43758 31824 1856485683060   816   153    18   1      1    19   171   9693876 11628 27132 50388 75582 92378 92378 75582 50388 27132 116283876   969   171    19   1

soupman 发表于 2020-6-12 00:09:42

你是格式问题还是啥,请把输入参数发出来

Juniorboy 发表于 2020-6-12 14:40:10

soupman 发表于 2020-6-12 00:09
你是格式问题还是啥,请把输入参数发出来

输入您要创建二维数组的行和列(a b) : 20 20
请输入您想要输出的杨辉三角的行数:20

Juniorboy 发表于 2020-6-12 14:59:52

soupman 发表于 2020-6-12 00:09
你是格式问题还是啥,请把输入参数发出来

1    19   171   9693876 11628 27132 50388 75582 92378 92378 75582 50388 27132 116283876   969   171    19   1
就是这行没有换行,本来要输出一个三角形的,格式问题

Juniorboy 发表于 2020-6-12 15:22:49

soupman 发表于 2020-6-12 00:09
你是格式问题还是啥,请把输入参数发出来

我刚才输出了一个21行的三角形,第21行正确,20行还是输出了错误的格式

永远的渣滓 发表于 2020-6-12 20:31:15

可以

405794672 发表于 2020-6-12 20:51:45

首先要先查出杨辉三角的特性。前些日子我找了经典例题100例。里面有这题,仔细研究了一下。因为我那时第一次听说杨辉三角。百度百科上面的介绍看得很晕,理解起来很绕。所幸我全弄懂了。上面的介绍真是坑。说了很多废话,用其中一个特性就OK了。选你觉得比较简单的。按照上面的计算方法进行设计是不会错的。
另外,楼主非要用malloc?我可不喜欢。不知道new可不可以。没办法,试验而已,不行就直接硬设,不让用户输入。

405794672 发表于 2020-6-12 21:07:11

似乎不可能啊。竟然没换行。这就尴尬了!不知道原因。改天我也去试主式看看我的20行会不会也是这样

Juniorboy 发表于 2020-6-12 21:15:10

405794672 发表于 2020-6-12 21:07
似乎不可能啊。竟然没换行。这就尴尬了!不知道原因。改天我也去试主式看看我的20行会不会也是这样

哈哈哈,就是出了错

人造人 发表于 2020-6-12 22:39:27

soupman 发表于 2020-6-12 23:14:45

你把cmd窗口调大点就好了
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

soupman 发表于 2020-6-12 23:17:02

这啥玩意,截图发不了,你把cmd窗口调大点就好了

Neverturnback 发表于 2020-6-13 00:46:33

①代码没问题的,主要是你的黑窗口显示不够的问题导致的。
②你可以把黑窗口最大化,就可以了。
③图片是直接复制你的代码的运行结果

405794672 发表于 2020-6-14 14:51:14

今天想起了那出,试了一下,21行都没有问题

Juniorboy 发表于 2020-6-14 15:18:19

405794672 发表于 2020-6-14 14:51
今天想起了那出,试了一下,21行都没有问题

明白了,那就是我的编译器的输出格式有问题
页: [1]
查看完整版本: 输出杨辉三角