Average-case performance refers to the expected efficiency of an algorithm when considering a typical set of inputs, rather than the worst-case or best-case scenarios. This metric is crucial for understanding how an algorithm will behave under normal circumstances, as it provides a more realistic assessment of performance in practical applications. By analyzing average-case performance, one can determine the effectiveness and feasibility of using specific data structures or algorithms in real-world situations.
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