Maximize the Minimum Powered City | Hard Made Easy | Leetcode 2528 | Codehurdle

In this video, we solve LeetCode 2528: Maximize the Minimum Powered City, a challenging problem that combines Binary Search on Answer, Greedy strategy, and Sliding Window/Difference Array techniques to optimize power distribution across a city.

📌 In this video, you’ll learn:

How to identify "Maximize the Minimum" patterns that signal Binary Search.

The Greedy logic for placing additional power stations to provide maximum coverage.

Using a Sliding Window or Difference Array to manage range sums efficiently.

How to validate a potential "minimum power" value within the search space.

Full Time & Space complexity analysis for large-scale constraints.

This problem is excellent for mastering optimization over ranges and improving your ability to combine multiple algorithmic patterns—essential skills for top-tier technical interviews and competitive programming.

👉 Problem Link: https://leetcode.com/problems/maximiz...

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