What is f(n) in Big O notation?
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It is denoted by o(f(n)), where f(n) is a function that represents the growth rate of the algorithm’s running time. 3. Omega notation (Ω): The Omega notation provides a lower bound on an algorithm’s running time growth. It represents the minimum amount of resources an algorithm needs to solve a problem.