Maximum Subarray Problem in Java | Kadane's Algorithm Explained | 12 Week DSA Preparation Journey

🚀 Master the Maximum Subarray Problem in Java | DSA Interview Preparation Welcome to Skill Forge Corner! 🎯 In this video, we'll solve the Maximum Subarray problem using three approaches, starting with brute force and gradually optimizing our solution to O(N) using Kadane's Algorithm. This is a popular coding interview question that helps you understand arrays, subarrays, time complexity, and optimization techniques. 📌 What You'll Learn: ✅ Brute Force Approach — O(N³) ✅ Better Approach — O(N²) ✅ Optimal Approach — O(N) ✅ Kadane's Algorithm explained step by step ✅ Java implementations for all three approaches ✅ Dry run with an example ✅ Time and space complexity analysis ✅ Important edge cases, including arrays with all negative numbers 💻 Problem: Maximum Subarray 📚 LeetCode: Problem 53 🛠️ Programming Language: Java #DSA #Java #KadaneAlgorithm #MaximumSubarray #LeetCode #CodingInterview #SDEPreparation #DataStructures #Algorithms #SkillForgeCorner