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最长公共子序列

Longest Common Subsequence

专题
Algorithmic Programming / 算法编程
难度
L3
来源
Citadel

题目详情

问题:最长公共子序列

考察:字符串、动态规划

来源:Citadel

链接:https://www.jointaro.com/interviews/questions/longest-common-subsequence/

Given two strings text1 and text2, return the length of their longest common subsequence. If there is no common subsequence, return 0.

A subsequence of a string is a new string generated from the original string with some characters (can be none) deleted without changing the relative order of the remaining characters.

  • For example, "ace" is a subsequence of "abcde".

A common subsequence of two strings is a subsequence that is common to both strings.

 

Example 1:

Input: text1 = "abcde", text2 = "ace" 
Output: 3  
Explanation: The longest common subsequence is "ace" and its length is 3.

Example 2:

Input: text1 = "abc", text2 = "abc"
Output: 3
Explanation: The longest common subsequence is "abc" and its length is 3.

Example 3:

Input: text1 = "abc", text2 = "def"
Output: 0
Explanation: There is no such common subsequence, so the result is 0.

 

Constraints:

  • 1 <= text1.length, text2.length <= 1000
  • text1 and text2 consist of only lowercase English characters.
解析

思路:二维 DP。若两个字符相等,dp[i][j] = dp[i-1][j-1] + 1;否则取删除任一侧字符后的较大值。

复杂度:时间 O(mn),空间 O(mn),可滚动优化到 O(min(m,n))。