Da: Buchpark, Trebbin, Germania
Condizione: Sehr gut. Zustand: Sehr gut | Seiten: 96 | Sprache: Englisch | Produktart: Bücher.
Editore: Springer New York, Springer US Jul 2012, 2012
ISBN 10: 1461441897 ISBN 13: 9781461441892
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 53,49
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -Kronecker products are used to define the underlying Markov chain (MC) in various modeling formalisms, including compositional Markovian models, hierarchical Markovian models, and stochastic process algebras. The motivation behind using a Kronecker structured representation rather than a flat one is to alleviate the storage requirements associated with the MC. With this approach, systems that are an order of magnitude larger can be analyzed on the same platform. The developments in the solution of such MCs are reviewed from an algebraic point of view and possible areas for further research are indicated with an emphasis on preprocessing using reordering, grouping, and lumping and numerical analysis using block iterative, preconditioned projection, multilevel, decompositional, and matrix analytic methods. Case studies from closed queueing networks and stochastic chemical kinetics are provided to motivate decompositional and matrix analytic methods, respectively.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 96 pp. Englisch.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 59,77
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 53,34
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Editore: Springer New York, Springer US, 2012
ISBN 10: 1461441897 ISBN 13: 9781461441892
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 56,98
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Kronecker products are used to define the underlying Markov chain (MC) in various modeling formalisms, including compositional Markovian models, hierarchical Markovian models, and stochastic process algebras. The motivation behind using a Kronecker structured representation rather than a flat one is to alleviate the storage requirements associated with the MC. With this approach, systems that are an order of magnitude larger can be analyzed on the same platform. The developments in the solution of such MCs are reviewed from an algebraic point of view and possible areas for further research are indicated with an emphasis on preprocessing using reordering, grouping, and lumping and numerical analysis using block iterative, preconditioned projection, multilevel, decompositional, and matrix analytic methods. Case studies from closed queueing networks and stochastic chemical kinetics are provided to motivate decompositional and matrix analytic methods, respectively.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 59,76
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Da: Chiron Media, Wallingford, Regno Unito
EUR 60,52
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Aggiungi al carrelloPF. Condizione: New.
Da: Revaluation Books, Exeter, Regno Unito
EUR 75,42
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Aggiungi al carrelloPaperback. Condizione: Brand New. 86 pages. 9.00x6.00x0.25 inches. In Stock.
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 52,15
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Da: dsmbooks, Liverpool, Regno Unito
EUR 97,73
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Aggiungi al carrelloPaperback. Condizione: Like New. Like New. book.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 112,08
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 125,57
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Editore: Springer New York Jul 2012, 2012
ISBN 10: 1461441897 ISBN 13: 9781461441892
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 53,49
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Kronecker products are used to define the underlying Markov chain (MC) in various modeling formalisms, including compositional Markovian models, hierarchical Markovian models, and stochastic process algebras. The motivation behind using a Kronecker structured representation rather than a flat one is to alleviate the storage requirements associated with the MC. With this approach, systems that are an order of magnitude larger can be analyzed on the same platform. The developments in the solution of such MCs are reviewed from an algebraic point of view and possible areas for further research are indicated with an emphasis on preprocessing using reordering, grouping, and lumping and numerical analysis using block iterative, preconditioned projection, multilevel, decompositional, and matrix analytic methods. Case studies from closed queueing networks and stochastic chemical kinetics are provided to motivate decompositional and matrix analytic methods, respectively. 96 pp. Englisch.
Editore: Springer-Verlag New York Inc., 2012
ISBN 10: 1461441897 ISBN 13: 9781461441892
Lingua: Inglese
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 67,69
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Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 454.