[LintCode] 77. Longest common subsequences_ Medium tag: Dynamic Programming
Given two strings, find the longest common subsequence (LCS).
Example
Example 1:这个题目思路是利用dynamic programming,用二维的,mem[l1 + 1][l2 + 1] # mem[i][j] 去表示s1的前i个characters与s2的前j个characters的LCS的length。
Input: "ABCD" and "EDCA"
Output: 1 Explanation:
LCS is 'A' or 'D' or 'C' Example 2:
Input: "ABCD" and "EACB"
Output: 2 Explanation:
LCS is "AC"
function : mem[i][j] = max(mem[i][j - 1], mem[i - 1][j]) if s1[i - 1] != s2[j - 1]
max(mem[i][j - 1], mem[i - 1][j], mem[i - 1][j - 1] + 1) if s1[i - 1] == s2[j - 1]
initialize : mem[i][0] = mem[0][j] = 0 Code:
class Solution:
def LCS(self, s1, s2):
l1, l2 = len(s1), len(s2)
mem = [[0] * (l2 + 1) for _ in range(l1 + 1)]
for i in range(1, l1 + 1):
for j in range(1, l2 + 1):
temp = 1 if s1[i - 1] == s2[j - 1] else 0:
mem[i][j] = max(mem[i - 1][j], mem[i][j - 1], mem[i - 1][j - 1] + temp)
return mem[l1][l2]
[LintCode] 77. Longest common subsequences_ Medium tag: Dynamic Programming的更多相关文章
- [LeetCode] 63. Unique Paths II_ Medium tag: Dynamic Programming
A robot is located at the top-left corner of a m x n grid (marked 'Start' in the diagram below). The ...
- [LeetCode] 139. Word Break_ Medium tag: Dynamic Programming
Given a non-empty string s and a dictionary wordDict containing a list of non-empty words, determine ...
- lintcode 77.Longest Common Subsequence(最长公共子序列)、79. Longest Common Substring(最长公共子串)
Longest Common Subsequence最长公共子序列: 每个dp位置表示的是第i.j个字母的最长公共子序列 class Solution { public: int findLength ...
- [LeetCode] 115. Distinct Subsequences_ Hard tag: Dynamic Programming
Given a string S and a string T, count the number of distinct subsequences of S which equals T. A su ...
- [LeetCode] 55. Jump Game_ Medium tag: Dynamic Programming
Given an array of non-negative integers, you are initially positioned at the first index of the arra ...
- [LeetCode] 62. Unique Paths_ Medium tag: Dynamic Programming
A robot is located at the top-left corner of a m x n grid (marked 'Start' in the diagram below). The ...
- [LeetCode] 221. Maximal Square _ Medium Tag: Dynamic Programming
Given a 2D binary matrix filled with 0's and 1's, find the largest square containing only 1's and re ...
- [LeetCode] 45. Jump Game II_ Hard tag: Dynamic Programming
Given an array of non-negative integers, you are initially positioned at the first index of the arra ...
- [LeetCode] 64. Minimum Path Sum_Medium tag: Dynamic Programming
Given a m x n grid filled with non-negative numbers, find a path from top left to bottom right which ...
随机推荐
- 关于 win10 系统中 Anaconda3 中修改 Jupyter Notebook 默认启动目录
目标: 修改Anaconda3中自带的Jupyter Notebook默认启动目录. 步骤: 1.提前创建好你想要启动位置文件夹. 2.寻找配置文件,"jupyter_not ...
- Redis数据类型String
set和get Set带空格的字符串值,这时候就需要使用双引号了,否则会出错 getset getset设置某个key-value,然后把设置之前的值返回来 incr,incrby 和 decr,de ...
- build配置项中maven常用插件
<build> <!-- 在浏览器地址栏的项目名称 --> <finalName>${project.artifactId}</finalName> & ...
- Service-Level Agreement (服务水平协议)
Service-Level Agreement (服务水平协议) SLA是为负载测试场景定义的具体目标.例如,评测脚本中任意数量事务的平均响应时间,可以定义具体的目标或阈值.测试运行结束之后,Load ...
- VMware虚拟机下安装ubuntu操作系统
安装tools:
- python 爬虫与数据可视化--数据提取与存储
一.爬虫的定义.爬虫的分类(通用爬虫.聚焦爬虫).爬虫应用场景.爬虫工作原理(最后会发一个完整爬虫代码) 二.http.https的介绍.url的形式.请求方法.响应状态码 url的形式: 请求头: ...
- LINUX更改桌面的分辨率
命令行 输入xrandr 输入xrandr命令后可以看到系统的一些分辨率的列表, 和当前系统屏幕的分辨率信息,可以通过命令的 相应参数对系统分辨率的一些设置操作. xrandr -s 0 全屏 xra ...
- 移除K位数字
1.题目来源:选自LeetCode 402: 2.问题描述: 3.问题分析 通过分析我们可以得出这样的结论:如果后一个数字比前面的数字小的话,那么我们就要把前面的一个数字删除掉,并且每次把字符串中拆出 ...
- (71)Wangdao.com第十一天_JavaScript 数学对象 Math
Math 对象 封装了数学相关的 属性和方法. 和其他对象不一样,Math 不是一个构造函数,所以不能 new 生成实例, 其所有属性和方法都必须在 Math 对象上调用. 静态属性 Math.PI ...
- Java 中 AOP —— 探讨其存在价值及实现方式对比
AOP 概述 Aspect-oriented programming(面向切面编程).最广为人知的面向侧面的程序设计语言是由施乐帕洛阿尔托研究中心 (施乐帕克 nb!)开发的AspectJ,该语言可以 ...