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ISBN 10: 9814513008 ISBN 13: 9789814513005
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Lingua: Inglese
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ISBN 10: 9814513008 ISBN 13: 9789814513005
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Lingua: Inglese
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ISBN 10: 9814513008 ISBN 13: 9789814513005
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Lingua: Inglese
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Lingua: Inglese
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ISBN 10: 9814513008 ISBN 13: 9789814513005
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Aggiungi al carrelloHardback. Condizione: New. Discrete event systems (DES) have become pervasive in our daily lives. Examples include (but are not restricted to) manufacturing and supply chains, transportation, healthcare, call centers, and financial engineering. However, due to their complexities that often involve millions or even billions of events with many variables and constraints, modeling these stochastic simulations has long been a "hard nut to crack". The advance in available computer technology, especially of cluster and cloud computing, has paved the way for the realization of a number of stochastic simulation optimization for complex discrete event systems. This book will introduce two important techniques initially proposed and developed by Professor Y C Ho and his team; namely perturbation analysis and ordinal optimization for stochastic simulation optimization, and present the state-of-the-art technology, and their future research directions.
Lingua: Inglese
Editore: World Scientific Publishing Company, 2013
ISBN 10: 9814513008 ISBN 13: 9789814513005
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ISBN 10: 9814513008 ISBN 13: 9789814513005
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Aggiungi al carrelloHardback. Condizione: New. Discrete event systems (DES) have become pervasive in our daily lives. Examples include (but are not restricted to) manufacturing and supply chains, transportation, healthcare, call centers, and financial engineering. However, due to their complexities that often involve millions or even billions of events with many variables and constraints, modeling these stochastic simulations has long been a "hard nut to crack". The advance in available computer technology, especially of cluster and cloud computing, has paved the way for the realization of a number of stochastic simulation optimization for complex discrete event systems. This book will introduce two important techniques initially proposed and developed by Professor Y C Ho and his team; namely perturbation analysis and ordinal optimization for stochastic simulation optimization, and present the state-of-the-art technology, and their future research directions.
Lingua: Inglese
Editore: Wiley-Interscience 04.2003., 2003
ISBN 10: 0471330523 ISBN 13: 9780471330523
Da: Vulkaneifel Bücher, Birgel, Germania
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Lingua: Inglese
Editore: World Scientific Publishing Company, 2013
ISBN 10: 9814513008 ISBN 13: 9789814513005
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Aggiungi al carrelloGebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. InhaltsverzeichnisPart I: Perturbation Analysis: IPA Calculus for Hybrid Systems Smoothed Perturbation Analysis: A Retrospective and Prospective Look Perturbation Analysis and Variance Reduction in Monte Carlo Simulation Adjoints and .
Da: preigu, Osnabrück, Germania
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Aggiungi al carrelloBuch. Condizione: Neu. STOCHASTIC SIMULATION OPTIMIZATION FOR DISCRETE EVENT SYSTEM | Chen Chun-Hung | Buch | Gebunden | Englisch | 2013 | World Scientific | EAN 9789814513005 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Discrete event systems (DES) have become pervasive in our daily life. Examples include (but are not restricted to) manufacturing and supply chains, transportation, healthcare, call centers, and financial engineering. However, due to their complexities that often involve millions or even billions of events with many variables and constraints, modeling of these stochastic simulations has long been a 'hard nut to crack.' The advance in available computer technology, especially of cluster and cloud computing, has paved the way for the realization of a number of stochastic simulation optimization for complex discrete event systems. This book will introduce two important techniques initially proposed and developed by Professor Y C Ho and his team; namely perturbation analysis and ordinal optimization for stochastic simulation optimization, and present the state-of-the-art technology, and their future research directions.