In the world of computer science and algorithm analysis, understanding the efficiency and performance of algorithms is crucial. Asymptotic notations provide a standardized way to express and compare the growth rates of algorithms. Three commonly used asymptotic notations are Big O, Big Omega, and Big Theta. In this article, we will delve into the concepts of these notations and explore their significance in algorithmic analysis.
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