两个字符串求公共子序列,利用二维 dp; 转移方程为 dp[i][j] = max(dp[i - 1][j], dp[i][j - 1]) s1[i] != s2[j] dp[i][j] = dp[i - 1][j - 1] + 1 s1[i] == s2[j] dp 长宽为字符串长度 + 1 将 dp 基础赋值加在遍历中

#
# 代码中的类名、方法名、参数名已经指定,请勿修改,直接返回方法规定的值即可
#
# s1和s2最长公共子序列的长度
# @param s1 string字符串 
# @param s2 string字符串 
# @return int整型
#
class Solution:
    def LCS(self , s1: str, s2: str) -> int:
        # write code here
        dp = [[0 for _ in range(len(s2) + 1)] for _ in range(len(s1) + 1)]
        for i in range(1, len(s1) + 1):
            for j in range(1, len(s2) + 1):
                if s1[i - 1] == s2[j - 1]:
                    dp[i][j] = dp[i - 1][j - 1] + 1
                else:
                    dp[i][j] = max(dp[i -1][j], dp[i][j - 1])
        return dp[-1][-1]