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Asymptotic notation is a mathematical notation that is used to analyze the time complexity and the runtime of an algorithm for a large input . For example if we want to compare the runtimes of the bubble sort algorithm and merge sort algorithm, we can use asymptotic notations to do this comparison. Asymptotic notation is a powerful tool used to analyze algorithms and functions. It provides a standardized and abstract way of describing the growth rates of functions as the input size increases. We can compare and classify algorithms based on their efficiency and scalability with asymptotic notation . This article explores the different types of asymptotic notation , including Big O (𝑂), Big Omega (Ω), and Big Theta (Θ), and their mathematical definitions. We will also delve into ... Asymptotic notations are the mathematical notations used to describe the running time of an algorithm when the input tends towards a particular value or a limiting value. Asymptotic notations provides with a mechanism to calculate and represent time and space complexity for any algorithm. It is of 3 types - Theta, Big O and Omega. In this tutorial we will learn about them with examples.