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Beside other services, ACM helps companies to clearly state their “corporate identity”, which includes company logo but also other signs, like trademarks. One of such companies is Internet Building Masters (IBM), which has recently asked ACM for a he…
Beside other services, ACM helps companies to clearly state their “corporate identity”, which includes company logo but also other signs, like trademarks. One of such companies is Internet Building Masters (IBM), which has recently asked ACM for a he…
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题意:给你n个字符串,问你这n个串的最长公共子串 解题思路:暴力枚举任意一个字符串的所有子串,然后暴力匹配,和hdu1238差不多的思路吧,这里用string解决的: 代码: #include<iostream> #include<string> #include<cstdio> #include<algorithm> using namespace std; string t; int main() { int n; string a[4050]; ios…
Corporate Identity Time Limit: 9000/3000 MS (Java/Others)    Memory Limit: 65536/32768 K (Java/Others)Total Submission(s): 3308    Accepted Submission(s): 1228 Problem Description Beside other services, ACM helps companies to clearly state their “cor…
Blue Jeans Time Limit: 1000MS   Memory Limit: 65536K Total Submissions:21746   Accepted: 9653 Description The Genographic Project is a research partnership between IBM and The National Geographic Society that is analyzing DNA from hundreds of thousan…
// KMP.cpp : 定义控制台应用程序的入口点. // #include "stdafx.h" #include<iostream> using namespace std; int BF(char S[], char T[]) {  int i=0, j=0;  int index = 0;  while ((S[i]!='\0')&&(T[j]!='\0'))  {   if (S[i]==T[j])   {    i++;    j++;   }…
以前看过kmp算法,当时接触后总感觉好深奥啊,抱着数据结构的数啃了一中午,最终才大致看懂,后来提起kmp也只剩下“奥,它是做模式匹配的”这点干货.最近有空,翻出来算法导论看看,原来就是这么简单(先不说程序实现,思想很简单). 模式匹配的经典应用:从一个字符串中找到模式字串的位置.如“abcdef”中“cde”出现在原串第三个位置.从基础看起 朴素的模式匹配算法 A:abcdefg  B:cde 首先B从A的第一位开始比较,B++==A++,如果全部成立,返回即可:如果不成立,跳出,从A的第二位开…
KMP算法是字符串模式匹配当中最经典的算法,原来大二学数据结构的有讲,但是当时只是记住了原理,但不知道代码实现,今天终于是完成了KMP的代码实现.原理KMP的原理其实很简单,给定一个字符串和一个模式串,然后找模式串在给定字符串中的位置.将两个字符串转换为字符数组,然后从两个数组的开始位置"i","j"开始匹配,如果相同,执行"i++","j++"接着比较下一位:如果不相同,就转到模式串对应next数组的对应位置"ne…
前几天写好了字典,又刚好重温了KMP算法,恰逢遇到朋友吐槽最近被和谐的词越来越多了,于是突发奇想,想要自己实现一下敏感词屏蔽. 基本敏感词的屏蔽说起来很简单,只要把字符串中的敏感词替换成"***"就可以了.对于子串的查找,就KMP算法就可以了.但是敏感词这么多,总不能一个一个地遍历看看里面有没有相应的词吧! 于是我想到了前几天写的字典树.如果把它改造一下,并KMP算法结合,似乎可以节约不少时间. 首先说明一下思路: 对于KMP算法,这里不过多阐述.对于敏感词库,如果把它存进字典树,并在…