Kadane's Algorithm Explained: Optimal Approach for Maximum Subarray Sum (DSA Guide)
Kadane's Algorithm Explained: Optimal Approach for Maximum Subarray Sum (DSA Guide) Welcome to our Data Structures and Algorithms (DSA) Series by Drag Coder In this tutorial, we’ll deep-dive into Kadane's Algorithm , one of the most important and frequently asked topics in coding interviews and competitive programming. Kadane’s Algorithm offers an efficient solution to the Maximum Subarray Sum problem using dynamic programming principles. We’ll start from the basics, explore brute force and optimized approaches, and finally break down Kadane's Algorithm step-by-step with examples and code. Let’s begin! 📌 What is a Subarray in DSA? Before diving into the maximum subarray sum , it’s essential to understand what a subarray is. A subarray is a contiguous portion of an array. For instance, given an array [1, 2, 3, 4, 5] , valid subarrays include: Single elements like [1] , [3] Multiple elements like [1, 2, 3] , [4, 5] The entire array [1, 2, 3, 4, 5] 💡...
