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Titlebook: Discrete-Event Simulation; Modeling, Programmin George S. Fishman Textbook 2001 Springer Science+Business Media New York 2001 Analysis.Disc

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書目名稱Discrete-Event Simulation
副標題Modeling, Programmin
編輯George S. Fishman
視頻videohttp://file.papertrans.cn/282/281191/281191.mp4
概述Leading authority in the area provides basic treatment of the subject.Written from the perspective of today‘s highly interactive PC and workstation environments.Each example is brought forward through
叢書名稱Springer Series in Operations Research and Financial Engineering
圖書封面Titlebook: Discrete-Event Simulation; Modeling, Programmin George S. Fishman Textbook 2001 Springer Science+Business Media New York 2001 Analysis.Disc
描述Discrete-event simulation consists of a collection of techniques that when applied to a discrete-event dynamical system, generates sequences called sample paths that characterize its behavior. The collection includes modelling concepts for abstracting the essential features of a system, using specially designed software for converting these relationships into computer executable code capable of generating the requisite sample-path data; outlining procedures for converting these data into estimates of systems performances; and then illustrating methods for assessing how well these estimates approximate true, but unknown system behavior..This book is intended for upper level undergraduate and graduate students in operations research and management science, mathematics, industrial engineering, computer science, and business and features extensive exercises throughout. This concept of modelling complex sytems allows a relatively low-cost way of gathering information for decision-making..Principally offered are four problems for student exercises; each is progressively brought forward through the modelling, programming, and analysis chapters, providing continuity to the learning process
出版日期Textbook 2001
關鍵詞Analysis; Discrete-Event Simulation; Performance; Simulation Modeling; modeling; operations research; simu
版次1
doihttps://doi.org/10.1007/978-1-4757-3552-9
isbn_softcover978-1-4419-2892-4
isbn_ebook978-1-4757-3552-9Series ISSN 1431-8598 Series E-ISSN 2197-1773
issn_series 1431-8598
copyrightSpringer Science+Business Media New York 2001
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1431-8598 station environments.Each example is brought forward throughDiscrete-event simulation consists of a collection of techniques that when applied to a discrete-event dynamical system, generates sequences called sample paths that characterize its behavior. The collection includes modelling concepts for
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Abraham Lerman,Devendra Lal,Michael F. Dacey step 3 depends solely on what the programming language automatically makes available in converting the model to code in step 6. Too often, step 9 is ignored, making any conclusions based on comparisons across experiments difficult to justify statistically.
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Stefan Schaltegger,Roger Burrittationist than they were in the past. Moreover, every simulation programming language implicitly provides a means for managing space and performing searches during execution of virtually any program written in the language, further removing these issues from a simulationist’s consciousness.
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Modeling Concepts, step 3 depends solely on what the programming language automatically makes available in converting the model to code in step 6. Too often, step 9 is ignored, making any conclusions based on comparisons across experiments difficult to justify statistically.
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