Print All LIS Using DP Tabulation Revision | Longest Increasing Subsequence | C++ & Java

📢 Join the Hunter Coding Telegram Community https://t.me/hunter_coding Get: ✅ DSA Revision Notes ✅ Pattern Cheat Sheets ✅ Curated Codeforces Problems ✅ OA Preparation Resources ✅ Interview Preparation Tips --- In this video, we extend LeetCode 300 - Longest Increasing Subsequence and learn how to print all possible LIS using the DP tabulation table and backtracking. Topics Covered: • Longest Increasing Subsequence Revision • Why Multiple LIS Can Exist • Building the DP Tabulation Table • Backtracking from the DP Table • Printing All LIS • Recursive Thinking Behind Reconstruction • Tabulation + Backtracking Approach • C++ Solution • Java Solution • Time Complexity • Space Complexity Unlike the standard LeetCode 300 problem where we only find the length of the LIS, in this video we reconstruct and print all valid Longest Increasing Subsequences from the completed DP table. This is a very useful technique for interview questions where reconstruction of the answer is required after computing the DP states. Concepts Used: • Dynamic Programming • Tabulation • Backtracking • State Reconstruction • LIS Pattern Hunter Coding focuses on: • DSA Revision • Curated Problem Solutions • OA Preparation • Interview Strategy Revise Patterns, Not Solutions. #lis #longestincreasingsubsequence #leetcode300 #dynamicprogramming #dp #backtracking #tabulation #reconstruction #dsa #cpp #java #huntercoding #revision #interviewpreparation #oa