Time complexity of Algorithms Simplified | Time Complexity in Data Structure | Big O Notation

The time complexity of an algorithm in data structure helps us evaluate whether the program is efficient or not. In this video, we simplify the concepts of time complexity and Big O Notation.

🔹What is time complexity and Big O Notation in Data Structure?

Time complexity of an algorithm signifies the total time required by the program to run till its completion. Time Complexity is most commonly estimated by counting the number of elementary steps performed by an algorithm to finish execution. Big O Notation is an asymptotic notation to represent the time complexity. It is a convenient way to describe how fast your function is growing.

Big O Notation is not just necessary for software engineers to ace interviews but also to determine the best algorithm for solving a problem.

Here are the topics covered in this video👇

0:00 - Introduction to Time Complexity
2:03 - Time Complexity Analysis Examples
6:11 - Asymptotic Notations
9:26 - Omega Notation

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