Скачать или смотреть Maximum Product Subarray Leetcode 152 – All Approaches Explained 🔥 | JavaScript Full Tutorial

📌 Leetcode 152 - Maximum Product Subarray is one of the most common yet tricky coding interview questions, especially for Amazon, Google, and other FAANG companies.In this full tutorial, we break down all possible approaches step-by-step and explain why Kadane’s Algorithm with a twist is the best solution.
✅ What you’ll learn in this video:
• Problem explanation with dry runs
• Brute force method (O(n²))
• Dynamic Programming (Kadane’s style)
• Why tracking both min and max is important
• JavaScript implementation
• Time and space complexity
• Interview tips and edge cases
🎯 Whether you’re prepping for DSA, Leetcode, or JavaScript coding interviews, this video is all you need to master Leetcode 152.
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Chapters:
00:00 Introduction to Maximum Product Subarray Leetcode 152
00:05 Understanding the problem statement
01:09 Understanding the BruteForce Approach
11.01 Code for BruteForce Approach
15:50 Understanding the Optimal approach
24:38 Code for Optimal Approach