In this video, we solve the LeetCode problem “Minimum Swaps to Arrange Binary Grid” using a clear and intuitive Greedy Approach.
You are given a binary grid, and in one operation, you can swap any two adjacent rows. The goal is to determine the minimum number of swaps required so that each row has the required number of trailing zeros. If it’s impossible, return -1.
We break down:
✔️ How to count trailing zeros
✔️ How to decide which row to swap
✔️ Why the greedy method guarantees minimum swaps
✔️ Time and Space Complexity analysis
Perfect for coding interviews and competitive programming preparation! 🚀
#leetcode #greedy #matrix #codinginterview #dsa
