Sprache: Englisch
Verlag: Springer-Verlag New York Inc., 1987
ISBN 10: 0387965785 ISBN 13: 9780387965789
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Zustand: New.
Sprache: Englisch
Verlag: Secaucus, New Jersey, U.S.A.: Springer Verlag, 1987
ISBN 10: 0387965785 ISBN 13: 9780387965789
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Verlag: Springer, London 1987, 1987
Anbieter: Antiquariat Thomas & Reinhard, Recklinghausen, NRW, Deutschland
Kartoniert, 240 Seiten, dies ist ein regulär ausgesondertes Bibliotheksexemplar aus einer wissenschaftlichen Bibliothek, keine Markierungen/Anmerkungen, Vorderdeckel berieben, ansonsten ein sehr gut erhaltenes Buch --- Lib. Ex., no marks, LINEN BINDING, 240 pages, front cover rubbed, the book itself is in a good condition. Shipping to abroad insured with tracking number.
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EUR 60,55
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In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: Springer New York 1987-01-01, 1987
ISBN 10: 1461291607 ISBN 13: 9781461291602
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Zustand: Gut. Auflage: 1987. 240 Seiten Exemplar aus einer wissenchaftlichen Bibliothek Altersfreigabe FSK ab 0 Jahre Sprache: Englisch Gewicht in Gramm: 270 23,4 x 15,2 x 1,8 cm, Gebundene Ausgabe.
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In den WarenkorbPaperback. Zustand: Brand New. reprint edition. 255 pages. 9.25x6.10x0.71 inches. In Stock.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Probabilistic Analysis of Algorithms begins with a presentation of the 'tools of the trade' currently used in probabilistic analyses, and continues with an applications section in which these tools are used in the analysis ofr selected algorithms. The tools section of the book provides the reader with an arsenal of analytic and numeric computing methods which are then applied to several groups of algorithms to analyze their running time or storage requirements characteristics. Topics covered in the applications section include sorting, communications network protocols and bin packing. While the discussion of the various algorithms is sufficient to motivate their structure, the emphasis throughout is on the probabilistic estimation of their operation under distributional assumptions on their input. Probabilistic Analysis of Algorithms assumes a working knowledge of engineering mathematics, drawing on real and complex analysis, combinatorics and probability theory. While the book is intended primarily as a text for the upper undergraduate and graduate student levels, it contains a wealth of material and should also prove an important reference for researchers. As such it is addressed to computer scientists, mathematicians, operations researchers, and electrical and industrial engineers who are interested in evaluating the probable operation of algorithms, rather than their worst-case behavior.