LeetCode 152: Maximum Product Subarray Solution Explained (C++)

In this video, we solve LeetCode 152: Maximum Product Subarray. This looks like a simple variation of Kadane's Algorithm, but there's a catch: negative numbers! I'll show you why standard logic fails and how to track both the minimum and maximum products to solve this in O(N) time. Want to ace your next tech interview? Watch my FREE training on how to crack technical rounds: http://prepflix.co.in/landing-page?utm_source=youtube_desc The Code Logic: Unlike the sum problem, a negative number in a product problem can flip a minimum value into a maximum value. 1. We track max_cur (current maximum product). 2. We track min_cur (current minimum product). 3. When we see a negative number, the minimum becomes the maximum! 🔗 Links: Problem Link: https://leetcode.com/problems/maximum-product-subarray/ #leetcode #maximumproductsubarray #dynamicprogramming #cpp #leetcode152 #codinginterview #kadanesalgorithm