Скачать или смотреть LeetCode 53: Maximum Subarray | Kadane’s Algorithm in JavaScript

In this video, I solve LeetCode 53: Maximum Subarray using the optimal approach — Kadane’s Algorithm — in JavaScript.

The problem asks us to find the contiguous subarray (with at least one number) that has the largest sum.

The key trick is to track a running sum, and if it ever drops below 0, we reset it — because a negative sum won’t help any future subarray. At each step, we update our max with the highest sum seen so far.

This gives us an elegant O(n) solution that avoids unnecessary comparisons or nested loops.

What You’ll Learn:
✅ How Kadane’s Algorithm tracks local and global max
✅ Why we reset the sum when it drops below 0
✅ Edge cases like all-negative arrays
✅ Time & space complexity breakdown

Chapters:
0:00 - Problem Breakdown
0:55 - Explanation
5:29 - JavaScript Code Walkthrough

💬 Want to see the solution that returns the actual subarray as well? Drop a comment!

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