stochastic processes queueing theory von borovkov (9 Ergebnisse)

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Hardcover. Zustand: Gut. XI, 280 S., with figures ; 25 cm, Ex.-Libr., Good condition. Cover with marks from removed label. Sprache: Englisch Gewicht in Gramm: 825.

Gr.-8°. XI, 280 Pages. Publishers: Springer Verlag (1976). XI, 280 Pages. Original Hardcover-Volume. Ex-Library-Copy. Library-Sticker on the Spine. Library-Stamp [dropped out] on Front-Endpaper, verso Title, and on Cutting. No Markings in the Text! No Underlinings! No handwritten Owner-Notation! Cover only with small Signs of Usage. ('Applications of Mathematics', Volume 4).

VII/280 S./pp., Originalpappband (publisher's cardboard covers), Bibliotheksexemplar in gutem Zustand / exlibrary in good condition (Einband gering gebrauchsspurig / binding shows minor tear and wear, Stempel Titel retro / title retro stamped, Rückenschildchen / lettering pannel to the spine, Block sehr gut / contents clean, keine Unterstreichungen oder Anstreichungen / no underlining or remarks, nicht in Folie eingeschlagen / not wrapped up in foil), (Applications of Mathematics 4), Sprache: englisch.

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Taschenbuch. Zustand: Neu. Stochastic Processes in Queueing Theory | Alexandr Borovkov | Taschenbuch | Stochastic Modelling and Applied Probability | xi | Englisch | 2011 | Springer | EAN 9781461298687 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The object of queueing theory (or the theory of mass service) is the investigation of stochastic processes of a special form which are called queueing (or service) processes in this book. Two approaches to the definition of these processes are possible depending on the direction of investigation. In accordance with this fact, the exposition of the subject can be broken up into two self-contained parts. The first of these forms the content of this monograph. . The definition of the queueing processes (systems) to be used here is dose to the traditional one and is connected with the introduction of so-called governing random sequences. We will introduce algorithms which describe the governing of a system with the aid of such sequences. Such a definition inevitably becomes rather qualitative since under these conditions a completely formal construction of a stochastic process uniquely describing the evolution of the system would require introduction of a complicated phase space not to mention the difficulties of giving the distribution of such a process on this phase space.