LeetCode 300 | Longest Increasing Subsequence | Tabular | DP | MAANG Preparation
In this video, we solve LeetCode 300: Longest Increasing Subsequence (LIS) using Dynamic Programming, explained in a clear and beginner-friendly way.
You’ll understand:
What Longest Increasing Subsequence really means
How to think in terms of subproblems
DP state definition and transition
O(n²) Dynamic Programming solution step by step
Why LIS is a classic and must-know DP interview problem
Time and Space Complexity explained simply
This problem helps you master DP thinking, and it appears frequently in coding interviews and online assessments.
Perfect for:
Students learning Dynamic Programming
LeetCode interview preparation
Understanding DP patterns clearly
FAANG and product-based company prep
