「克努斯-莫里斯-普拉特演算法(Knuth–Morris–Pratt algorithm / KMP algorithm)」是一種字串搜尋演算法(string-searching algorithm),可用來在一長串文字中,尋找特定字串。 匹配陣列(PS Array) 用來比較一字串中的內容重複出現的程度;在比較兩字串時,若兩字串不相符,匹配陣列(PS Array)可協助將比較的字串往後移。
Two Way algorithm ,之前的版本是普通的二重循环查找,因此用不着自己写。 而且glibc 的作者一度也写错过,sourceware.org/bugzilla ps. strstr() 还不止一次出过 bug:sourceware.org/bugzillasourceware.org/bugzilla 等等。c - What is the fastest substring search algorithm? 编辑于 2015-01-17 16:30 赞...
print(strStr("BBC ABCDAB ABCDABCDABDE","ABCDABD")) 参考原文:http://www.ruanyifeng.com/blog/2013/05/Knuth–Morris–Pratt_algorithm.html 参考了阮一峰文章中大量的内容,并根据自己的理解情况作了调整。感谢!
议题:KMP算法(D.E. Knuth, J.H. Morris, V.R. Pratt Algorithm) 分析: KMP算法用于在一个主串中找出特定的字符或者模式串。现在假设主串为长度n的数组T[1,n],模式串为长度m的数组P[1,m];数组T和P满足:n>m,且所有元素都来自有限字母表中的字符; 常规比较方式是将模式字符串作为滑动窗口从左向右匹配...
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Our algorithm will detect this mismatch and will set "i" to be 2. But what's the point? for i = 2 we already know that there will be no match. In fact, based on strwe should not be setting "i" to a previous index, but we could just as well continue advancing i....
using namespace std; #include <cstdio> #include <cstring> #include <algorithm> #define N 1000010 int n,m; char a[N],b[N]; int nxt[N],ex[N]; int main(){ scanf("%s%s",a,b); n=strlen(a),m=strlen(b); nxt[0]=n;
This snippet submitted by Syed Rafey Husain on 2005-11-22. It has been viewed 45856 times. Rating of 6.6 with 934 votes const char *kmp_search(const char *text, const char *pattern) { int *T; int i, j; const char *result = NULL; ...
The main problem is that if there are many repeated characters in the string, the algorithm seems stupid. such as txt = "aaacaaab" pat = "aaab": Obviously, there is no character c in pat at all, and it is not necessary to roll back the pointer i. The brute force s...
From DFA to KMP algorithm DFA# In the theory of computation, a branch of theoretical computer science, a deterministic finite automaton (DFA)—also known as deterministic finite acceptor (DFA), deterministic finite-state machine (DFSM), or deterministic finite-state automaton (DFSA)—is a finite...