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Tools / Data structures Interview questions

Explain asymptotic analysis of an algorithm?

Asymptotic analysis of an algorithm refers to defining the mathematical boundation/framing of its run-time performance. Using asymptotic analysis, we can identify the best case, average case, and worst case scenario of an algorithm.

Asymptotic analysis is input bound so that if there's no input to the algorithm, it is considered to work in a constant time. Other than the "input" all other factors are considered constant.

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