LeetCode 1536 | Minimum Swaps to Arrange a Binary Grid 🔥 | Greedy + Trailing Zeros Explained

In this video, we solve LeetCode Problem 1536: Minimum Swaps to Arrange a Binary Grid. This problem requires us to find the minimum number of adjacent row swaps to make a binary grid satisfy a specific condition: all cells above the main diagonal must be zero.

We use a Greedy approach and a Bubble Sort-like technique to reach the optimal solution. I also use a visual simulation tool to show exactly how the rows are swapped in real-time.

🚀 What we cover:

How to count trailing zeros for each row.

The greedy logic to pick the best row for each position.

How to handle cases where it's impossible to arrange the grid.

Time and Space complexity analysis.

📌 Chapters: - Introduction & Visual Tool Overview - Problem Statement & Requirements - Preprocessing: Counting Trailing Zeros - Walkthrough: Simulating the Row Swaps - When to return -1 (Impossible Cases) - Two-Phase Algorithm Strategy - Code Implementation (Python/JavaScript) - Time and Space Complexity Analysis

💻 Complexity:

Time Complexity: O(n²) — We iterate through the grid to count zeros and use nested loops for the swapping logic.

Space Complexity: O(n) — We store the count of trailing zeros in a 1D array.

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Видео LeetCode 1536 | Minimum Swaps to Arrange a Binary Grid 🔥 | Greedy + Trailing Zeros Explained канала SWE HQ