Understanding Big O Notation with Examples in Java

Welcome to our comprehensive guide on Big O notation. Big O notation is a crucial concept for analyzing the efficiency of algorithms, especially in terms of time and space complexity. In this video, we will explain Big O notation in detail and provide practical examples in Java to illustrate how different complexities affect algorithm performance.

What You'll Learn:

What is Big O Notation?

Understand the basics of Big O notation and why it’s essential for analyzing algorithms.
Common Big O Notations:

Learn about the most common Big O notations: O(1), O(log n), O(n), O(n log n), O(n^2), O(2^n), and O(n!).
Examples of Each Big O Notation in Java:

See practical Java examples that demonstrate the time complexity of different algorithms.
By the end of this video, you’ll be able to analyze the time complexity of algorithms using Big O notation and understand how to optimize your code for better performance.

Contact for 1:1 Sessions:
For personalized guidance or specific queries, you can reach out for 1:1 sessions:

Email: [email protected]
Phone: 628-190-6470
Don’t forget to like, subscribe, and hit the notification bell for more programming tutorials!