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LeetCode 300 | Longest Increasing Subsequence | Memoization | DP | MAANG Preparation

LeetCode 300 | Longest Increasing Subsequence | Memoization | 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

Видео LeetCode 300 | Longest Increasing Subsequence | Memoization | DP | MAANG Preparation канала Pen And Paper
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