3.3 Introduction to Big O Notation
Welcome to one of the most important concepts in computer science - the Big O notation. The Big O notation is a tool that we use to describe how the efficiency of an algorithm changes as the size of the input grows.
This tool provides us with a high-level understanding of the algorithm and gives us an upper bound of the time or space complexity in the worst-case scenario. It helps us understand the scalability of the algorithm and how it will behave when the input size increases.
By using the Big O notation, we can predict how much time and space an algorithm will take and compare it with other algorithms to determine the best one for a particular task. Additionally, this notation is programming language agnostic and can be used to describe the efficiency of an algorithm on any platform.
In conclusion, the Big O notation is a powerful tool that helps computer scientists and engineers analyze and optimize algorithms to improve performance and efficiency...