Leetcode之动态规划(DP)专题-712. 两个字符串的最小ASCII删除和(Minimum ASCII Delete Sum for Two Strings) 给定两个字符串s1, s2,找到使两个字符串相等所需删除字符的ASCII值的最小和. 示例 1: 输入: s1 = "sea", s2 = "eat" 输出: 231 解释: 在 "sea" 中删除 "s" 并将 "s" 的值(115)加入总…

题目描述 给定两个字符串s1, s2,找到使两个字符串相等所需删除字符的ASCII值的最小和. 示例 1: 输入: s1 = "sea", s2 = "eat" 输出: 231 解释: 在 "sea" 中删除 "s" 并将 "s" 的值(115)加入总和. 在 "eat" 中删除 "t" 并将 116 加入总和. 结束时,两个字符串相等,115 + 116 = 231…

712. 两个字符串的最小ASCII删除和 给定两个字符串s1, s2,找到使两个字符串相等所需删除字符的ASCII值的最小和. 示例 1: 输入: s1 = "sea", s2 = "eat" 输出: 231 解释: 在 "sea" 中删除 "s" 并将 "s" 的值(115)加入总和. 在 "eat" 中删除 "t" 并将 116 加入总和. 结束时,两个字符串相…

Given two strings s1, s2, find the lowest ASCII sum of deleted characters to make two strings equal. Example 1: Input: s1 = "sea", s2 = "eat" Output: 231 Explanation: Deleting "s" from "sea" adds the ASCII value of…

题目描述: https://leetcode-cn.com/problems/minimum-ascii-delete-sum-for-two-strings/ 解题思路: 也是典型的dp问题.利用二维dp数组求解. 建立一个二维数组Dp[ i ][ j ],Dp[ i ][ j ]表示从s1中拿出 i 个元素和从 s2 中拿出 j 个元素的最小删除数. 当s1[i]=s2[j]时,dp[i][j] = dp[i-1][j-1]. 当s1[i]!=s2[j], 动态转移方程为: dp[i][j]…

给定两个字符串s1, s2,找到使两个字符串相等所需删除字符的ASCII值的最小和. 示例 1: 输入: s1 = "sea", s2 = "eat" 输出: 231 解释: 在 "sea" 中删除 "s" 并将 "s" 的值(115)加入总和. 在 "eat" 中删除 "t" 并将 116 加入总和. 结束时,两个字符串相等,115 + 116 = 231 就是符合…

Given two strings s1, s2, find the lowest ASCII sum of deleted characters to make two strings equal. Example 1: Input: s1 = "sea", s2 = "eat" Output: 231 Explanation: Deleting "s" from "sea" adds the ASCII value of…

lc 712 Minimum ASCII Delete Sum for Two Strings 712 Minimum ASCII Delete Sum for Two Strings Given two strings s1, s2, find the lowest ASCII sum of deleted characters to make two strings equal. Example 1: Input: s1 = "sea", s2 = "eat"…

Given two strings s1, s2, find the lowest ASCII sum of deleted characters to make two strings equal. Example 1: Input: s1 = "sea", s2 = "eat" Output: 231 Explanation: Deleting "s" from "sea" adds the ASCII value of…

Given two strings s1, s2, find the lowest ASCII sum of deleted characters to make two strings equal. Example 1: Input: s1 = "sea", s2 = "eat" Output: 231 Explanation: Deleting "s" from "sea" adds the ASCII value of…