Kadane’s Algorithm Explained | Maximum Subarray Sum in Rust | Dynamic Programming Tutorial

Master the Maximum Subarray Problem with Kadane’s Algorithm in Rust! 🚀

In this Rust programming tutorial, we tackle the Maximum Subarray Problem — a fundamental challenge in dynamic programming and array manipulation. Learn how to efficiently find the largest sum of a contiguous subarray using Kadane’s Algorithm, a powerful and optimized linear-time solution.

📌 What You’ll Learn in This Video:
✅ Understanding the Maximum Subarray Problem
✅ How Kadane’s Algorithm works and why it’s efficient
✅ Implementing Maximum Subarray Sum in Rust
✅ The concept of negative prefixes and sliding windows
✅ Writing clean and optimized Rust code with test cases

🚀 Why Learn Kadane’s Algorithm?
🔹 Efficient Performance: Solves the problem in O(n) time complexity
🔹 Real-World Applications: Used in financial analysis, data processing, and gaming engines
🔹 Essential for Coding Interviews: A must-know algorithm for competitive programming
🔹 Optimized Approach: Avoids the O(n²) brute force method with smart optimization