Average-case Time Complexity

Definition

The average-case time complexity of an algorithm refers to the amount of time it takes for an algorithm to run on average when given different inputs. It provides an estimation of how efficient or fast an algorithm is expected to perform under typical conditions.

Related terms

Best-case Time Complexity: The minimum amount of time required for an algorithm to run when given specific inputs that lead to the best possible scenario.

Worst-case Time Complexity: The maximum amount of time required for an algorithm to run when given specific inputs that lead to the worst possible scenario.

Time Complexity Analysis: The process of evaluating and analyzing how the running time of an algorithm grows as the size of the input increases.