LeetCode 673 Revision | Number of Longest Increasing Subsequence | Organic DP + Tab | 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 solve LeetCode 673 - Number of Longest Increasing Subsequence. Unlike LeetCode 300, where we only find the length of the LIS, this problem asks us to count how many Longest Increasing Subsequences exist. In this video, we cover two intuitive approaches to solve the problem. Topics Covered: • Difference Between LeetCode 300 & 673 • Understanding the Counting Logic • Organic DP Approach • Direct Tabulation Approach • DP State Definition • Maintaining Length and Count Arrays • Updating Count Values Correctly • Handling Multiple LIS • C++ Solution • Java Solution • Time Complexity • Space Complexity By the end of this video, you'll understand not only how to compute the LIS length, but also how to count all possible Longest Increasing Subsequences using both an intuitive DP approach and a clean tabulation solution. Hunter Coding focuses on: • DSA Revision • Curated Problem Solutions • OA Preparation • Interview Strategy Revise Patterns, Not Solutions. #leetcode #leetcode673 #lis #longestincreasingsubsequence #numberoflis #dynamicprogramming #dp #tabulation #cpp #java #huntercoding #revision #dsa #interviewpreparation #oa