Longest Common Subsequence (2 Strings) - Dynamic Programming & Competing Subproblems

Code & Problem Statement @ https://backtobackswe.com/platform/co... Free 5-Day Mini-Course: https://backtobackswe.com Try Our Full Platform: https://backtobackswe.com/pricing 📹 Intuitive Video Explanations 🏃 Run Code As You Learn 💾 Save Progress ❓New Unseen Questions 🔎 Get All Solutions Question: You are given 2 strings. Return the length of the longest subsequence that the 2 strings share. Complexities n = s1.length() m = s2.length() Time: O( nm ) We can upper bound time by the number of subproblems that we are going to solve. Space: O( nm ) We upper bound space by the number of subproblems we will story answers to. Whether we do (n + 1)(m + 1) or (n)(m) doesn't matter asymptotically. ++++++++++++++++++++++++++++++++++++++++++++++++++ HackerRank:    / @hackerrankofficial   Tuschar Roy:    / tusharroy2525   GeeksForGeeks:    / @geeksforgeeksvideos   Jarvis Johnson:    / vsympathyv   Success In Tech:    / @successintech