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regeneration networks queues di shedler gerald (33 risultati)
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Regeneration and Networks of Queues (Applied Probability (3)) (v. 3)
Da: Midtown Scholar Bookstore, Harrisburg, PA, U.S.A.
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Regeneration and Networks of Queues. Applied Probability, With 15 Illustrations
Da: Zubal-Books, Since 1961, Cleveland, OH, U.S.A.
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Regeneration and Networks of Queues
Da: Munster & Company LLC, ABAA/ILAB, Corvallis, OR, U.S.A.
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Aggiungi al carrelloCondizione: Good. First Edition. Springer-Verlag, 1987. This Book is in Good Condition; First edition, first printing with full number line. Normal wear to covers and edges, text is clean with no marks, binding tight. Not Ex-Library or Remaindered. 100% Guaranteed. First Edition. hardcover. Good.
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EUR 3,37
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EUR 6,87
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Aggiungi al carrelloCondizione: Good. Volume 3. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,600grams, ISBN:0387964258.
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Regeneration and Networks of Queues
Da: Powell's Bookstores Chicago, ABAA, Chicago, IL, U.S.A.
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Aggiungi al carrelloCondizione: Used - Very Good. 1986. Pictorial board, 8vo., 224 pp., illust. Closed tear at back joist; 2 slight bumps to edges. Otherwise like new. Near fine.
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Regeneration And Networks Of Queues : Applied Probability
Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
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EUR 60,67
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EUR 81,75
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Regeneration and Networks of Queues
Da: Books Puddle, New York, NY, U.S.A.
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Regeneration and Networks of Queues
Da: Majestic Books, Hounslow, Regno Unito
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EUR 93,28
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Regeneration and Networks of Queues (Applied Probability)
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
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Regeneration and Networks of Queues (Applied Probability, 3)
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
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Regeneration and Networks of Queues
Da: Biblios, Frankfurt am main, HESSE, Germania
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Regeneration and Networks of Queues (Applied Probability)
Da: Ria Christie Collections, Uxbridge, Regno Unito
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Regeneration and Networks of Queues (Applied Probability, 3)
Da: Ria Christie Collections, Uxbridge, Regno Unito
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Regeneration and Networks of Queues
Da: Books Puddle, New York, NY, U.S.A.
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EUR 92,27
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Regeneration and Networks of Queues (Applied Probability) (v. 3)
Da: Mispah books, Redhill, SURRE, Regno Unito
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Regeneration and Networks of Queues | Gerald S. Shedler | Taschenbuch | viii | Englisch | 2012 | Springer | EAN 9781461269977 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Regeneration and Networks of Queues
Editore: Springer New York, Springer US, 2012
ISBN 10: 1461269970 ISBN 13: 9781461269977
Lingua: Inglese
EUR 112,77
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Networks of queues arise frequently as models for a wide variety of congestion phenomena. Discrete event simulation is often the only available means for studying the behavior of complex networks and many such simulations are non Markovian in the sense that the underlying stochastic process cannot be repre sented as a continuous time Markov chain with countable state space. Based on representation of the underlying stochastic process of the simulation as a gen eralized semi-Markov process, this book develops probabilistic and statistical methods for discrete event simulation of networks of queues. The emphasis is on the use of underlying regenerative stochastic process structure for the design of simulation experiments and the analysis of simulation output. The most obvious methodological advantage of simulation is that in principle it is applicable to stochastic systems of arbitrary complexity. In practice, however, it is often a decidedly nontrivial matter to obtain from a simulation information that is both useful and accurate, and to obtain it in an efficient manner. These difficulties arise primarily from the inherent variability in a stochastic system, and it is necessary to seek theoretically sound and computationally efficient methods for carrying out the simulation. Apart from implementation consider ations, important concerns for simulation relate to efficient methods for generating sample paths of the underlying stochastic process. the design of simulation ex periments, and the analysis of simulation output.
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Regeneration and Networks of Queues
Editore: Springer New York, Springer New York, 1986
ISBN 10: 0387964258 ISBN 13: 9780387964256
Lingua: Inglese
EUR 114,36
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Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Networks of queues arise frequently as models for a wide variety of congestion phenomena. Discrete event simulation is often the only available means for studying the behavior of complex networks and many such simulations are non Markovian in the sense that the underlying stochastic process cannot be repre sented as a continuous time Markov chain with countable state space. Based on representation of the underlying stochastic process of the simulation as a gen eralized semi-Markov process, this book develops probabilistic and statistical methods for discrete event simulation of networks of queues. The emphasis is on the use of underlying regenerative stochastic process structure for the design of simulation experiments and the analysis of simulation output. The most obvious methodological advantage of simulation is that in principle it is applicable to stochastic systems of arbitrary complexity. In practice, however, it is often a decidedly nontrivial matter to obtain from a simulation information that is both useful and accurate, and to obtain it in an efficient manner. These difficulties arise primarily from the inherent variability in a stochastic system, and it is necessary to seek theoretically sound and computationally efficient methods for carrying out the simulation. Apart from implementation consider ations, important concerns for simulation relate to efficient methods for generating sample paths of the underlying stochastic process. the design of simulation ex periments, and the analysis of simulation output.
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Regeneration and Networks of Queues (Applied Probability (3))
Da: Mispah books, Redhill, SURRE, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: Like New. Like New. book.
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Regeneration and Networks of Queues
Editore: Springer New York Nov 2012, 2012
ISBN 10: 1461269970 ISBN 13: 9781461269977
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Valutazione del venditore 5 su 5 stelle
EUR 42,75
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Networks of queues arise frequently as models for a wide variety of congestion phenomena. Discrete event simulation is often the only available means for studying the behavior of complex networks and many such simulations are non Markovian in the sense that the underlying stochastic process cannot be repre sented as a continuous time Markov chain with countable state space. Based on representation of the underlying stochastic process of the simulation as a gen eralized semi-Markov process, this book develops probabilistic and statistical methods for discrete event simulation of networks of queues. The emphasis is on the use of underlying regenerative stochastic process structure for the design of simulation experiments and the analysis of simulation output. The most obvious methodological advantage of simulation is that in principle it is applicable to stochastic systems of arbitrary complexity. In practice, however, it is often a decidedly nontrivial matter to obtain from a simulation information that is both useful and accurate, and to obtain it in an efficient manner. These difficulties arise primarily from the inherent variability in a stochastic system, and it is necessary to seek theoretically sound and computationally efficient methods for carrying out the simulation. Apart from implementation consider ations, important concerns for simulation relate to efficient methods for generating sample paths of the underlying stochastic process. the design of simulation ex periments, and the analysis of simulation output. 236 pp. Englisch.
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Regeneration and Networks of Queues
Da: Majestic Books, Hounslow, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 145,95
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Aggiungi al carrelloCondizione: New. Print on Demand pp. 236 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
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Regeneration and Networks of Queues
Editore: Springer-Verlag New York Inc., 1986
ISBN 10: 0387964258 ISBN 13: 9780387964256
Lingua: Inglese
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
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EUR 135,27
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Regeneration and Networks of Queues
Da: Biblios, Frankfurt am main, HESSE, Germania
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EUR 148,42
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 236.
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Regeneration and Networks of Queues
Editore: Springer New York Dez 1986, 1986
ISBN 10: 0387964258 ISBN 13: 9780387964256
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Valutazione del venditore 5 su 5 stelle
EUR 139,09
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Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Networks of queues arise frequently as models for a wide variety of congestion phenomena. Discrete event simulation is often the only available means for studying the behavior of complex networks and many such simulations are non Markovian in the sense that the underlying stochastic process cannot be repre sented as a continuous time Markov chain with countable state space. Based on representation of the underlying stochastic process of the simulation as a gen eralized semi-Markov process, this book develops probabilistic and statistical methods for discrete event simulation of networks of queues. The emphasis is on the use of underlying regenerative stochastic process structure for the design of simulation experiments and the analysis of simulation output. The most obvious methodological advantage of simulation is that in principle it is applicable to stochastic systems of arbitrary complexity. In practice, however, it is often a decidedly nontrivial matter to obtain from a simulation information that is both useful and accurate, and to obtain it in an efficient manner. These difficulties arise primarily from the inherent variability in a stochastic system, and it is necessary to seek theoretically sound and computationally efficient methods for carrying out the simulation. Apart from implementation consider ations, important concerns for simulation relate to efficient methods for generating sample paths of the underlying stochastic process. the design of simulation ex periments, and the analysis of simulation output. 236 pp. Englisch.
