LeetCode 712 – Minimum ASCII Delete Sum for Two Strings | DP Explained (C++) скачать в хорошем качестве

LeetCode 712 – Minimum ASCII Delete Sum for Two Strings | DP Explained (C++)

In this video, we solve LeetCode 712: Minimum ASCII Delete Sum for Two Strings, a classic Dynamic Programming problem that blends string DP with Longest Common Subsequence (LCS) concepts. We aim to minimize the total ASCII value of characters deleted from two strings so that both strings become equal. 🔍 Problem Intuition Instead of directly calculating deletions, we flip the perspective: Find the maximum ASCII sum of a common subsequence between s1 and s2 Subtract it from the total ASCII sum of both strings This transforms the problem into a DP-based maximum weighted LCS problem. 🧠 Approach Used Define dp[i][j] as the maximum ASCII sum of a common subsequence between: s1[0..i] and s2[0..j] If characters match → add 2 * ASCII value Else → take the maximum from previous states Final Answer = (Sum of ASCII values of s1 + s2) − dp[n−1][m−1] ⏱️ Complexity Analysis Time Complexity: O(n × m) Space Complexity: O(n × m) Efficient enough for constraints up to 1000 × 1000 💡 What You’ll Learn ✔ How to convert a minimization problem into maximization ✔ Weighted LCS using Dynamic Programming ✔ ASCII-based DP optimization tricks ✔ Clean and interview-ready C++ implementation 💻 Code Language C++ 🔗 Useful For FAANG Interviews String Dynamic Programming LCS Variants Competitive Programming LeetCode Medium Problems #LeetCode712 #DynamicProgramming #StringDP #LCS #CPlusPlus #FAANGPreparation #CodingInterview #DataStructures #Algorithms #LeetCodeMedium