Advances in Applied Probability · 1996 · 62 citations · 13 references
Large DeviationsEngineeringAlgorithmic Information TheorySorting AlgorithmRandomized AlgorithmSampling TheoryLower BoundQuicksort-style Selection AlgorithmComputational ComplexityExtremal CombinatoricsStatistical InferenceProbability TheoryComputer ScienceAsymptotic Distribution TheoryL Th SmallestCombinatorial OptimizationStatisticsBinary Tree
We investigate the asymptotic behaviour of the distribution of the number of comparisons needed by a quicksort-style selection algorithm that finds the l th smallest in a set of n numbers. Letting n tend to infinity and considering the values l = 1, ···, n simultaneously we obtain a limiting stochastic process. This process admits various interpretations: it arises in connection with a representation of real numbers induced by nested random partitions and also in connection with expected path lengths of a random walk in a random environment on a binary tree.
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Mathematical Programming, Random-access Store, Engineering +14
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