Quicksort asymptotics

dc.creatorFill, James Allen
dc.creatorJanson, Svante
dc.date2001-05-29
dc.date.accessioned2026-07-07T04:41:55Z
dc.date.available2026-07-07T04:41:55Z
dc.descriptionThe number of comparisons X_n used by Quicksort to sort an array of n distinct numbers has mean mu_n of order n log n and standard deviation of order n. Using different methods, Regnier and Roesler each showed that the normalized variate Y_n := (X_n - mu_n) / n converges in distribution, say to Y; the distribution of Y can be characterized as the unique fixed point with zero mean of a certain distributional transformation. We provide the first rates of convergence for the distribution of Y_n to that of Y, using various metrics. In particular, we establish the bound 2 n^{- 1 / 2} in the d_2-metric, and the rate O(n^{epsilon - (1 / 2)}) for Kolmogorov-Smirnov distance, for any positive epsilon.
dc.description23 pages. See also http://www.mts.jhu.edu/~fill/ and http://www.math.uu.se/~svante/ . To be submitted for publication in May, 2001
dc.identifierhttps://arxiv.org/abs/math/0105248
dc.identifierhttp://arxiv.org/abs/math/0105248
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/61559
dc.subjectProbability
dc.subject68W40 (primary), 68P10, 60F05, 60E05 (secondary)
dc.titleQuicksort asymptotics
dc.typetext

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