Lecture 11: Asymptotic Notations Explained | Big O, Omega, and Theta (Part 1) in Urdu/Hindi design

Lecture 11: Asymptotic Notations Explained | Big O, Omega, and Theta (Part 1) in Urdu/Hindi design

In this video, we dive into the fundamentals of asymptotic notations used in algorithm analysis, including Big O, Omega, and Theta. Learn what these notations mean, their importance, and the equations that define them. This is the first part of our series on asymptotic notation. What you’ll learn in this video: • The concept of asymptotic analysis. • Definitions and use cases of Big O, Omega, and Theta notations. • How these notations help in measuring algorithm efficiency. Stay tuned for Part 2, where we’ll demonstrate the proof of the Big O equation. 💻 Subscribe for more content on algorithms, data structures, and computer science!