Day 51/90 |⚡1792. Maximum Average Pass Ratio 🔥 Brute Force to Greedy Heap (Full Intuition)🔥 #6

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📚 Maximum Average Pass Ratio — Brute Force vs Heap (Greedy) | Step-by-Step Intuition

In this video, we break down the Maximum Average Pass Ratio problem in a clear and intuitive way. 🚀

We start with the brute force approach to build a strong foundation and understand the core idea behind distributing extra students. Then we move to the optimized greedy solution using a max heap, where we always pick the class that gives the maximum marginal gain in pass ratio.

If you’ve ever struggled to understand why heaps work here or how to compute the gain formula, this video will make it crystal clear with examples and dry runs.

🧠 What you’ll learn

✔️ Problem intuition and real-world interpretation
✔️ Brute force approach and why it’s inefficient
✔️ Deriving the gain (delta) formula
✔️ Greedy strategy using a max heap
✔️ Step-by-step dry run
✔️ Time and space complexity analysis

🎯 Who is this video for

• Students preparing for coding interviews
• Anyone learning greedy + heap patterns
• LeetCode practice (Greedy / Priority Queue)
• DSA beginners to intermediate learners

If you found this helpful, don’t forget to 👍 Like, 💬 Comment, and 🔔 Subscribe for more deep-dive DSA explanations!

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CHAPTERS
00:00 - Introduction & Recap
00:55 - LeetCode 1792 - Maximum Average Pass Ratio - Approach 1 - Theory
27:52 - LeetCode 1792 - Maximum Average Pass Ratio - Approach 1 - Code
41:29 - LeetCode 1792 - Maximum Average Pass Ratio - Approach 2 - Theory
53:16 - LeetCode 1792 - Maximum Average Pass Ratio - Approach 2 - Code
01:08:05 - Conclusion

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Видео Day 51/90 |⚡1792. Maximum Average Pass Ratio 🔥 Brute Force to Greedy Heap (Full Intuition)🔥 #6 канала CTO Bhaiya