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Titlebook: Modeling, Analysis, Design, and Control of Stochastic Systems; V.G. Kulkarni Textbook 19991st edition Springer-Verlag New York 1999 MATLAB

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書目名稱Modeling, Analysis, Design, and Control of Stochastic Systems
編輯V.G. Kulkarni
視頻videohttp://file.papertrans.cn/637/636277/636277.mp4
概述This book provides a self-contained review of all the relevant topics in probability theory.
叢書名稱Springer Texts in Statistics
圖書封面Titlebook: Modeling, Analysis, Design, and Control of Stochastic Systems;  V.G. Kulkarni Textbook 19991st edition Springer-Verlag New York 1999 MATLAB
描述This is an introductory level text on stochastic modeling. It is suited for undergraduate or graduate students in actuarial science, business management, computer science, engineering, operations research, public policy, statistics, and mathematics. It employs a large number of examples to teach how to build stochastic models of physical systems, analyze these models to predict their performance, and use the analysis to design and control them. The book provides a self-contained review of the relevant topics in probability theory. The rest of the book is devoted to important classes of stochastic models. In discrete and continuous time Markov models it covers the transient and long term behavior, cost models, and first passage times. Under generalized Markov models, it covers renewal processes, cumulative processes and semi-Markov processes. All the material is illustrated with many examples. There is a separate chapter on queueing models. In the chapter on design the author shows how the techniques developed in the text can be used to optimize the performance of a system. Finally, in the last chapter, linear programming is used to compute optimal control policies for stochastic sy
出版日期Textbook 19991st edition
關(guān)鍵詞MATLAB; Markov; Markov model; Markov process; Probability theory; Random variable; Sage; Stochastic model; S
版次1
doihttps://doi.org/10.1007/978-1-4757-3098-2
isbn_ebook978-1-4757-3098-2Series ISSN 1431-875X Series E-ISSN 2197-4136
issn_series 1431-875X
copyrightSpringer-Verlag New York 1999
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1431-875X modeling. It is suited for undergraduate or graduate students in actuarial science, business management, computer science, engineering, operations research, public policy, statistics, and mathematics. It employs a large number of examples to teach how to build stochastic models of physical systems,
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Textbook 19991st editionples. There is a separate chapter on queueing models. In the chapter on design the author shows how the techniques developed in the text can be used to optimize the performance of a system. Finally, in the last chapter, linear programming is used to compute optimal control policies for stochastic sy
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