Maximum Subarray Sum After Multiplier | Leetcode 3976 | Modified Kadanes algo

LeetCode 3976 | Maximum Subarray Sum After Multiplier | Dynamic Programming | 3-State DP In this video, we solve LeetCode 3976: Maximum Subarray Sum After Multiplier from scratch. At first glance, the problem looks like a variation of Kadane's Algorithm, but the requirement of performing exactly one multiplication or division operation on a subarray makes it much more interesting. We'll build the intuition step by step and derive an elegant 3-State Dynamic Programming solution. 📌 In this video, you'll learn: Understanding the problem statement Why a simple Kadane's Algorithm is not sufficient Building the DP intuition from scratch Understanding the three DP states: `no_trans` `curr_trans` `ended_trans` State transitions with detailed dry run O(N) Dynamic Programming solution Space optimization from O(N) → O(1) C++, Java & Python implementations ⏱️ Complexity Time Complexity: O(N) Space Complexity: O(N) DP Arrays: O(N) Optimized Version: O(1) If you found this explanation helpful, consider supporting the channel by Liking 👍, Sharing 📤 and Subscribing 🔔 for more in-depth Data Structures, Algorithms, Dynamic Programming, System Design and AI Engineering content. #LeetCode #DynamicProgramming #DP #KadaneAlgorithm #Programming #CodingInterview #Algorithms #DataStructures #CompetitiveProgramming #Techdose ---------------------------------------------------------------------------------------------------------------------------------------------------------------- 🟣 JOIN our 𝐋𝐈𝐕𝐄 𝐢𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰 𝐭𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐩𝐫𝐨𝐠𝐫𝐚𝐦 through whatsapp query: +91 8918633037 🟣 𝐂𝐡𝐞𝐜𝐤𝐨𝐮𝐭 𝐚𝐥𝐥 𝐨𝐮𝐫 𝐂𝐨𝐮𝐫𝐬𝐞𝐬: https://techdose.co.in/ 🔵 LinkedIn:   / surya-pratap-kahar   🔴 INSTAGRAM:   / techdose_official   🟢 𝐓𝐞𝐜𝐡𝐝𝐨𝐬𝐞-𝟏𝟎𝟎 𝐬𝐡𝐞𝐞𝐭: https://docs.google.com/spreadsheets/... --------------------------------------------------------------------------------------------------------------------------------------------------------------- Kadanes Algo:    • Kadanes algorithm | Longest sum contiguous...   𝐂𝐎𝐃𝐄 𝐋𝐈𝐍𝐊: https://gist.github.com/SuryaPratapK/...