Minimum Cost of Ropes | Greedy + Min Heap | DSA Interview Problem
In this video, we solve the Minimum Cost of Ropes problem using the Greedy Algorithm with Min Heap (Priority Queue).
This is a very popular DSA interview question and is frequently asked in product-based companies and FAANG interviews to test your understanding of heaps and greedy strategies.
🚀 What you’ll learn in this video:
Why greedy approach works for this problem.
How Min Heap (Priority Queue) optimizes the solution.
Step-by-step dry run with examples.
Time & space complexity analysis.
🎯 Interview Relevance:
Asked in Amazon, Google, Microsoft, Flipkart
Core problem for Heap & Greedy algorithms
Important for SDE-I, SDE-II, and backend engineers
📌 If you are preparing for DSA interviews or competitive programming, this problem is a must-solve.
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Playlist : • DSA in Java || Beginner to Advance
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⏱️ Timestamps:
00:00 - Introduction
00:08 - Problem Explained with Examples
01:42 - Optimized Approach using Priority Queue O(N log N)
05:02 - Code implementation using Priority Queue
07:02 - Conclusion
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