Day 70/90 |⚡🔥(LeetCode 3266) Final Array State After K Multiplication Operations II 🚀#8 #topk

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🚀 LeetCode 3266: Final Array State After K Multiplication Operations II | Heap + Greedy Explained

In this video, we break down LeetCode 3266 – Final Array State After K Multiplication Operations II, a challenging problem that tests your understanding of heaps (priority queues), greedy strategy, and optimization techniques.

🧠 What You’ll Learn:
How to approach the problem intuitively
Why a min-heap is the key data structure
Step-by-step dry run of the algorithm
Optimizing repeated multiplication operations
Handling large constraints efficiently
Time & space complexity analysis
⚡ Problem Insight:

Instead of blindly performing K operations, we explore how to:

Always pick the minimum element
Multiply it smartly to maximize/minimize outcome (based on problem requirement)
Use a heap to maintain order efficiently
🔥 Why This Problem is Important:
Frequently asked in coding interviews
Strengthens your heap + greedy pattern recognition
Helps in solving similar problems involving:
Repeated operations
Dynamic updates
Optimization under constraints
🛠️ Concepts Covered:
Min Heap / Priority Queue
Greedy Algorithms
Modular Arithmetic (if applicable)
Efficient Simulation
🎯 Who Should Watch:
Students preparing for DSA & coding interviews
Anyone struggling with heap-based problems
Learners targeting FAANG / top tech companies
💡 Pro Tip:

Mastering problems like this will help you quickly identify “always pick min/max + update” patterns, which are very common in interviews.

👍 Like, Share & Subscribe for more DSA pattern-based learning!

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CHAPTERS
00:00 - Introduction & Recap
01:25 - LeetCode 3266 - Approach 1 - Theory
31:17 - LeetCode 3266 - Approach 1 - Code
01:04:01 - Conclusion

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Видео Day 70/90 |⚡🔥(LeetCode 3266) Final Array State After K Multiplication Operations II 🚀#8 #topk канала CTO Bhaiya