Explain what is the difference between best case scenario and worst case scenario of an algorithm?

Question: Explain what is the difference between best case scenario and worst case scenario of an algorithm?

The asymptotic notations are mathematical tools that help us to analyze the efficiency of algorithms. They describe the behavior of a function as its input size grows towards infinity. There are three common asymptotic notations: big-O, big-Ω, and big-Θ. Big-O notation gives an upper bound on the worst-case running time of an algorithm. Big-Ω notation gives a lower bound on the best-case running time of an algorithm. Big-Θ notation gives a tight bound on the average-case running time of an algorithm.

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