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In this video, we solve LeetCode 1536 – Minimum Swaps to Arrange a Binary Grid using a powerful Greedy strategy. Instead of treating it as a 2D matrix simulation problem, we break it down into a smart 1D trailing zero observation trick — exactly the kind of thinking interviewers expect. This problem tests: Matrix observation skills Greedy placement logic Simulation optimization Interview problem solving mindset If you struggled with this question or thought of brute force first — this video will fix your approach. 🧠 Key Concept Covered ✔️ Why counting trailing zeros simplifies the problem ✔️ Why brute force row swapping is inefficient ✔️ How to convert 2D grid thinking into 1D greedy logic ✔️ Step-by-step dry run ✔️ Clean Java implementation ✔️ Time & Space Complexity breakdown 💻 Code & Notes Repository 🔗 All LeetCode Solutions Repository: https://github.com/Gopalkushwaha1/Lee... 🔗 AlgoDiary Interview Notes + Structured Code: https://github.com/Gopalkushwaha1/Alg... 🔗 Direct Problem Folder (1536): https://github.com/Gopalkushwaha1/Alg... 🔗 Direct Java Solution File: https://github.com/Gopalkushwaha1/Alg... 🚀 Who Should Watch? • Placement preparation students • FAANG / Product based company aspirants • Freshers preparing for coding interviews • Anyone learning Greedy algorithms • Developers improving problem solving thinking #LeetCode1536 #GreedyAlgorithm #CodingInterview #LeetCodeSolution #DataStructures #PlacementPreparation #JavaCoding #AlgoDiary #DSA