Скачать или смотреть DP-6 | 746. Min Cost Climbing Stairs | #6 | DP Playlist

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🔑 LeetCode 746: Min Cost Climbing Stairs explained step by step!

In this video, we break down the popular dynamic programming problem and show why greedy fails and how DP approaches make it simple to solve:

📌 What You’ll Learn:
✅ Why the Greedy approach doesn’t work here
✅ Top-Down DP (Memoization) – recursive + caching
✅ Bottom-Up DP (Tabulation) – building solutions iteratively
✅ Bottom-Up with Constant Space – optimize memory usage

By the end of this video, you’ll understand not just how to solve this problem, but also how to think about recurrence relations, state transitions, and space optimization in dynamic programming.

🎯 Perfect for:

DSA learners preparing for interviews

Students tackling LeetCode challenges

Anyone wanting to master Dynamic Programming step by step

👉 Watch till the end and subscribe for more DSA & coding tutorials 🚀

CHAPTERS
00:00 Introduction
03:30 Why Greedy Wont Work
04:55 DP Inuition
05:46 DP Framework Intuition (Base + Recurrence)
12:45 Live Coding of Bottom Up Approach
15:10 Time & Space Complexity of Bottom Up Approach
15:28 Example Walkthrough of Bottom Up Approach
16:50 Top Down Approach Intuition
19:26 Live Coding of Top Down Approach
22:06 Time & Space Complexity of Top Down Approach
23:36 Intuition of Constant Space Bottom Up Approach
24:38 Live Coding of Constant Space Bottom Up Approach
26:30 Time & Space Complexity of Constant Space Bottom Up Approach
26:38 Conclusion



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