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In [[computational complexity theory]], the '''average-case complexity''' of an [[algorithm]] is the amount of some computational resource (typically time) used by the algorithm, averaged over all possible inputs. It is frequently contrasted with [[worst-case complexity]] which considers the maximal complexity of the algorithm over all possible inputs.
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