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Lokesh Bijarniya

Lokesh Bijarniya

BTech CSE Student | Full Stack Developer | DSA Enthusiast

I am a BTech CSE student with a passion for full stack development and a deep interest in data structures and algorithms (DSA). As an aspiring software engineer, I enjoy building web applications that solve real-world problems and continuously improving my problem-solving skills through DSA. My goal is to create impactful solutions using modern technologies, while constantly learning and growing in the field of software development.

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Kadane's Algorithm Explained: Efficient Maximum Subarray Sum

· 3 min read
Lokesh Bijarniya
Lokesh Bijarniya
BTech CSE Student | Full Stack Developer | DSA Enthusiast

Kadane's Algorithm is a popular and efficient approach to solving the maximum subarray sum problem. It uses dynamic programming to find the contiguous subarray with the largest sum in linear time. This blog post will provide an in-depth look at how Kadane's Algorithm works, why it's useful, and how you can implement it in various programming languages.