What is average case complexity in algorithms?
Average case complexity refers to the expected time or space an algorithm takes to complete, averaged over all possible inputs.
How is it different from worst-case complexity?
Worst-case complexity measures the maximum time or space an algorithm could take, while average case considers typical scenarios.
Can you give an example of calculating average case complexity?
Sure! For a simple search algorithm, if it takes 1 step for the first element, 2 for the second, and so on, the average case would be the sum of steps divided by the number of elements.
Why is average case complexity important?
It's important because it provides a more realistic expectation of an algorithm's performance in practical situations.
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