Kadane’s Algorithm Explained 🔥 | Maximum Subarray Sum (LeetCode 53) | DSA Java for Placements
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In this video, we’ll deeply understand Kadane’s Algorithm, one of the most important Dynamic Programming problems in Data Structures and Algorithms (DSA) — also known as the Maximum Subarray Sum or Largest Sum Contiguous Subarray problem.
You’ll learn:
✅ What Kadane’s Algorithm is
✅ The step-by-step logic behind it
✅ How to find the Maximum Subarray Sum efficiently
✅ Java implementation explained clearly
✅ How this concept appears in LeetCode 53 – Maximum Subarray
✅ Common interview questions related to this topic
This video is part of our DSA Java for Placements series — designed to help you build strong problem-solving skills and prepare for top coding interviews.
💡 Similar & Related Topics Covered
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📚 Timestamps
00:00 – Introduction
00:18 – Sliding Window Technique Quick Revision
04:04 – Kadane’s Algorithm Java DSA
05:58 – Working of Kadanes Algorithm
13:16 – Leet 53 Question - Maximum Subarray Sum
15:53 – DSA Notes Website
📚 More DSA videos coming soon. Subscribe and support the channel for regular content on Data Structures, Algorithms, Java, and interview preparation.
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🧠 Keywords / Tags
#dsa #dsatutorial #datastructures #dsafreecourse #kadanesalgorithm #leetcode
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