https://www.51nod.com/tutorial/course.html#!courseId=4 复杂度:${\rm O}(nm)$ 转移方程: #include<bits/stdc++.h> using namespace std; typedef long long ll; int n,m; ][]; ]; string s,t; int main(){ cin>>s>>t; n=s.size(); m=t.size(); ;i<n;i++){ ;…

出处 http://segmentfault.com/blog/exploring/ 本章讲解:1. LCS(最长公共子序列)O(n^2)的时间复杂度,O(n^2)的空间复杂度:2. 与之类似但不同的最长公共子串方法.最长公共子串用动态规划可实现O(n^2)的时间复杂度,O(n^2)的空间复杂度:还可以进一步优化,用后缀数组的方法优化成线性时间O(nlogn):空间也可以用其他方法优化成线性.3.LIS(最长递增序列)DP方法可实现O(n^2)的时间复杂度,进一步优化最佳可达到O(nlogn)…

POJ 1458 Common Subsequence(LCS最长公共子序列)解题报告 题目链接:http://acm.hust.edu.cn/vjudge/contest/view.action?cid=87730#problem/F 题目: Common Subsequence Time Limit: 1000MS   Memory Limit: 10000K Total Submissions: 43388   Accepted: 17613 Description A subsequen…

LCS最长公共子序列 模板代码: #include <iostream> #include <string.h> #include <string> using namespace std; int dp[110][110]; int main() { string a,b; memset(dp,0,sizeof(dp)); cin>>a>>b; int lena = a.size(); int lenb = b.size(); for(int…

区别最长公共子串(连续) ''' LCS 最长公共子序列 ''' def LCS_len(x, y): m = len(x) n = len(y) dp = [[0] * (n + 1) for i in range(m + 1)] B = [[' '] * (n + 1) for i in range(m + 1)] for i in range(1, m + 1): for j in range(1, n + 1): if x[i - 1] == y[j - 1]: dp[i][j] = d…

题目连接:http://acm.hdu.edu.cn/showproblem.php?pid=1513 Palindrome Time Limit: 4000/2000 MS (Java/Others)    Memory Limit: 65536/32768 K (Java/Others)Total Submission(s): 4532    Accepted Submission(s): 1547 Problem Description A palindrome is a symmetri…

compromise Time Limit:1000MS     Memory Limit:65536KB     64bit IO Format:%I64d & %I64u   Description In a few months the European Currency Union will become a reality. However, to join the club, the Maastricht criteria must be fulfilled, and this is…

F - LCS Time Limit: 2 sec / Memory Limit: 1024 MB Score : 100100 points Problem Statement You are given strings ss and tt. Find one longest string that is a subsequence of both ss and tt. Notes A subsequence of a string xx is the string obtained by r…

最经典双串: 1143. 最长公共子序列 (LCS)  https://leetcode-cn.com/problems/longest-common-subsequence/submissions/ func longestCommonSubsequence(text1 string, text2 string) int { //最长公共子串 n1,n2 := len(text1),len(text2) //text2是内 dp := make([][]int,n2+1) for i:=0;i…

这篇日志主要为了记录这几天的学习成果. 最长公共子序列根据要不要求子序列连续分两种情况. 只考虑两个串的情况,假设两个串长度均为n. 一,子序列不要求连续. (1)动态规划(O(n*n)) (转自:http://www.cnblogs.com/xudong-bupt/archive/2013/03/15/2959039.html) 动态规划采用二维数组来标识中间计算结果,避免重复的计算来提高效率. 1)最长公共子序列的长度的动态规划方程 设有字符串a[0...n],b[0...m],下面就是递推…