ISBN: 9786133235151 - flashsort: sorting algorithm, big o notation, bucket sort (4 resultados)

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 132 pp. Englisch.

Taschenbuch. Condición: Neu. Flashsort | Sorting Algorithm, Big O Notation, Bucket Sort | Lambert M. Surhone (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786133235151 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. …

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Please note that the content of this book primarily consists of articlesavailable from Wikipedia or other free sources online. Flashsort is asorting algorithm with extremely good O(n) efficiency for balanced datasets, published in 1998 by Karl-Dietrich Neubert.Flashsort works basedon the principle that in either a randomized or partially-ordered dataset in which data are in a balanced distribution, one can immediatelyestimate where an item should be placed when one knows the range of theset.In the ideal case of a balanced data set, the efficiency scales asO(n) because each class is similarly sized, creating well-sorted datafor the final insertion sort. As an in-place algorithm, it uses minimalmemory and it also makes efficient use of the machine cache. In theworst case of unbalanced data, flashsort is as slow as insertion sortscaling as O(n2) precisely due to the need to use insertion sort on datathat was poorly sorted during classification.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Please note that the content of this book primarily consists of articlesavailable from Wikipedia or other free sources online. Flashsort is asorting algorithm with extremely good O(n) efficiency for balanced datasets, published in 1998 by Karl-Dietrich Neubert.Flashsort works basedon the principle that in either a randomized or partially-ordered dataset in which data are in a balanced distribution, one can immediatelyestimate where an item should be placed when one knows the range of theset.In the ideal case of a balanced data set, the efficiency scales asO(n) because each class is similarly sized, creating well-sorted datafor the final insertion sort. As an in-place algorithm, it uses minimalmemory and it also makes efficient use of the machine cache. In theworst case of unbalanced data, flashsort is as slow as insertion sortscaling as O(n2) precisely due to the need to use insertion sort on datathat was poorly sorted during classification.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 132 pp. Englisch.…