Time Complexity of Next Greater Element | Stacks | Data Structure | Algorithms | Java | Programming

Welcome to Kinetic Coding! In this engaging lecture, we dive deep into the intriguing world of Time Complexity with a focus on the Next Greater Element to the right — a crucial concept for any aspiring programmer or data structure enthusiast. This is Lecture 64 of our Data Structures and Algorithms (DSA) series, designed specifically for students aiming to succeed in both product-based and service-based companies. In this video, we utilize Java as our programming language and explore how to effectively leverage the stack data structure to tackle the problem of finding the next greater element. We'll cover the algorithm step-by-step, demonstrating how stacks simplify the process, and discuss the implications of time complexity in real-world scenarios. Whether you're preparing for technical interviews or looking to enhance your understanding of algorithms, this video is tailored for you. Join us as we unravel the complexities of this problem and elevate your coding skills to the next level! Don’t forget to subscribe to our channel for more insightful content on data structures and algorithms. Hit the notification bell 🔔 to stay updated for future lectures! Topics Covered Understanding the Next Greater Element problem Implementation using Java Stack data structure use cases Time Complexity Analysis Practical coding examples and explanations If you have any questions or topics you would like us to cover in future videos, feel free to leave a comment below! Happy Coding! 🔗 Connect with us: Subscribe: www.youtube.com/@kineticcoding #nextgreaterelement, #timecomplexity, #stackdatastructure, #javaprogramming, #datastructures, #algorithms, #kineticcoding, #codinginterviews, #productbasedjobs, #javaprograms, #complexityanalysis, #computerscience, #codingtutorials, #learningjava, #programmingchallenges, #efficientalgorithms, #dsa, #algorithmicthinking, #codinglessons, #developer