Analysis of Sorting Algorithms by Kolmogorov Complexity (A Survey)

dc.creatorVitanyi, Paul M. B.
dc.date2009-05-27
dc.date.accessioned2026-07-07T13:18:37Z
dc.date.available2026-07-07T13:18:37Z
dc.descriptionRecently, many results on the computational complexity of sorting algorithms were obtained using Kolmogorov complexity (the incompressibility method). Especially, the usually hard average-case analysis is ammenable to this method. Here we survey such results about Bubblesort, Heapsort, Shellsort, Dobosiewicz-sort, Shakersort, and sorting with stacks and queues in sequential or parallel mode. Especially in the case of Shellsort the uses of Kolmogorov complexity surprisingly easily resolved problems that had stayed open for a long time despite strenuous attacks.
dc.description18 Pages, 2 figures, LaTeX
dc.identifierhttps://arxiv.org/abs/0905.4452
dc.identifierhttp://arxiv.org/abs/0905.4452
dc.identifierPp.209--232 in: In: Entropy, Search, Complexity, Bolyai Society Mathematical Studies, 16, I. Csiszar, G.O.H. Katona, G. Tardos, Eds., Springer-Verlag, 2007
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/231485
dc.subjectData Structures and Algorithms
dc.subjectComputational Complexity
dc.titleAnalysis of Sorting Algorithms by Kolmogorov Complexity (A Survey)
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