LeetCode 53: Maximum Subarray | CSharp Solution | Kadane's Algorithm

🔍 Solve the classic #maximumsubarray problem using Kadane's Algorithm in C#. This video walks through finding the contiguous subarray with the largest sum in a given integer array. #leetcode #dynamicprogramming #kadanealgorithm ⏱️ **Time Complexity**: O(n) 🗃️ **Space Complexity**: O(1) ## Timestamps 00:00 - Understanding problem statement 00:43 - Brute force approach 02:43 - Big O Notation explained 03:20 - Understanding Kadane's algorithm 05:43 - Kadane's Algorithm - dry run 08:02 - Big O Notation calculated 09:13 - Solution analysis - runtime + memory 09:20 - Conclusion ## Key Concepts - 📊 Kadane's Algorithm - 🧩 Dynamic Programming - 🔄 Array Traversal - 🔢 Subarray Handling ## Learning Points - 💡 Understanding how to identify maximum sum subarrays - 💡 Implementing Kadane's Algorithm efficiently - 💡 Handling negative numbers in arrays - 💡 Converting O(n²) solutions to O(n) solutions ## Related Problems - 📝 LeetCode 121: Best Time to Buy and Sell Stock - 📝 LeetCode 152: Maximum Product Subarray - 📝 LeetCode 918: Maximum Sum Circular Subarray - 📝 LeetCode 1186: Maximum Subarray Sum with One Deletion ## Target Audience This video is perfect for software engineers preparing for technical interviews, computer science students learning algorithms, and anyone interested in efficient array processing techniques. ## Prerequisites - Basic understanding of C# syntax - Familiarity with arrays and loops - Understanding of time and space complexity analysis ## Links 🔗 Problem: https://leetcode.com/problems/maximum-subarray/ 🔗 Solution Code: https://leetcode.com/problems/maximum-subarray/solutions/6901501/kadanes-algorithm-solution-in-c-with-vid-swk7 ## Additional Tips - Pay special attention to how we handle negative numbers in the array - Notice how we track both the current sum and maximum sum seen so far - The algorithm makes a single pass through the array - efficiency is key! ## Call to Action 🔔 Subscribe for weekly coding interview prep videos! If you have questions about Kadane's Algorithm or need clarification on any part of the solution, drop them in the comments below. I personally respond to all comments within 24 hours!