Stochastic Simulation Optimization Discrete by Chen Chun Hung (19 results)
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Published by World Scientific Publishing Company, Incorporated, 2013
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Stochastic Simulation Optimization for Discrete Event Systems : Perturbation Analysis, Ordinal Optimization and Beyond
Chen, Chun-hung (EDT); Qing-shan, Jia (EDT); Lee, Loo Hay (EDT); Pao, Lucy (FRW)
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Published by World Scientific Publishing Co Pte Ltd, 2013
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Stochastic Simulation Optimization for Discrete Event Systems : Perturbation Analysis, Ordinal Optimization and Beyond
Chen, Chun-hung (EDT); Qing-shan, Jia (EDT); Lee, Loo Hay (EDT); Pao, Lucy (FRW)
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Stochastic Simulation Optimization for Discrete Event Systems : Perturbation Analysis, Ordinal Optimization and Beyond
Chen, Chun-hung (EDT); Qing-shan, Jia (EDT); Lee, Loo Hay (EDT); Pao, Lucy (FRW)
- Hardcover
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Stochastic Simulation Optimization for Discrete Event Systems : Perturbation Analysis, Ordinal Optimization and Beyond
Chen, Chun-hung (EDT); Qing-shan, Jia (EDT); Lee, Loo Hay (EDT); Pao, Lucy (FRW)
- Hardcover
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Gebunden. Condition: 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 Car…lo Simulation Adjoints and .
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Buch. Condition: 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.
- Hardcover
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Buch. Condition: 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 compl…exities 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.
