zoukankan      html  css  js  c++  java
  • LeetCode 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"
    Output: 231
    Explanation: Deleting "s" from "sea" adds the ASCII value of "s" (115) to the sum.
    Deleting "t" from "eat" adds 116 to the sum.
    At the end, both strings are equal, and 115 + 116 = 231 is the minimum sum possible to achieve this.

    Example 2:

    Input: s1 = "delete", s2 = "leet"
    Output: 403
    Explanation: Deleting "dee" from "delete" to turn the string into "let",
    adds 100[d]+101[e]+101[e] to the sum. Deleting "e" from "leet" adds 101[e] to the sum.
    At the end, both strings are equal to "let", and the answer is 100+101+101+101 = 403.
    If instead we turned both strings into "lee" or "eet", we would get answers of 433 or 417, which are higher.

    Note:

    • 0 < s1.length, s2.length <= 1000.
    • All elements of each string will have an ASCII value in [97, 122].

    This is clearly a DP problem.

    dp[i][j] is the cost for s1.substr(0,i) and s2.substr(0, j). Note s1[i], s2[j] not included in the substring.
    
    Base case: dp[0][0] = 0
    target: dp[m][n]
    
    if s1[i-1] = s2[j-1]   // no deletion
        dp[i][j] = dp[i-1][j-1];
    else   // delete either s1[i-1] or s2[j-1]
        dp[i][j] = min(dp[i-1][j]+s1[i-1], dp[i][j-1]+s2[j-1]);
    

    We can use a 2D vector, or an optimized O(n) extra space. See below. The run time is O(mn).

    class Solution {
    public:
        int minimumDeleteSum(string s1, string s2) {
            int m = s1.size(), n = s2.size();
            vector<vector<int>> dp(m+1, vector<int>(n+1, 0));
            for (int j = 1; j <= n; j++)
                dp[0][j] = dp[0][j-1]+s2[j-1];
            for (int i = 1; i <= m; i++) {
                dp[i][0] = dp[i-1][0]+s1[i-1];
                for (int j = 1; j <= n; j++) {
                    if (s1[i-1] == s2[j-1])
                        dp[i][j] = dp[i-1][j-1];
                    else 
                        dp[i][j] = min(dp[i-1][j]+s1[i-1], dp[i][j-1]+s2[j-1]);
                }
            }
            return dp[m][n];
        }
    };
    

    Optimized O(n) extra space

    class Solution {
    public:
        int minimumDeleteSum(string s1, string s2) {
            int m = s1.size(), n = s2.size();
            vector<int> dp(n+1, 0);
            for (int j = 1; j <= n; j++)
                dp[j] = dp[j-1]+s2[j-1];
            for (int i = 1; i <= m; i++) {
                int t1 = dp[0];
                dp[0] += s1[i-1];
                for (int j = 1; j <= n; j++) {
                    int t2 = dp[j];
                    dp[j] = s1[i-1] == s2[j-1]? t1:min(dp[j]+s1[i-1], dp[j-1]+s2[j-1]);
                    t1 = t2;
                }
            }
            return dp[n];
        }
    };
    
  • 相关阅读:
    MRC与ARC两种模式的相互兼容
    解决获取的手机序列号卸载应用重新安装时序列号变动的问题
    屏幕截图
    图片右下角显示水印
    在一个工程中建两个端口(司机端和货主端)
    左右侧边栏抽屉效果
    第二阶段第一天站立会议总结
    第十天站立会议总结
    第九天站立会议总结
    第八天站立会议总结
  • 原文地址:https://www.cnblogs.com/A-Little-Nut/p/8439094.html
Copyright © 2011-2022 走看看