The average case analysis of an algorithm is represented by
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The space factor when determining the efficiency of algorithm measured by counting the maximum disk space needed by the algorithm. Space complexity is a function describing the amount of memory (space) an algorithm takes in terms of the amount of input to the algorithm.
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The average case analysis of an algorithm is represented by the amount of computational resources used.
The amount of a computational resource (often time) utilized by an algorithm, averaged over all possible inputs, is known as its average-case complexity. It's sometimes compared with worst-case complexity, which considers the algorithm's highest complexity across all conceivable inputs.
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