書目名稱 | Markov Chains: Models, Algorithms and Applications | 編輯 | Wai-Ki Ching,Michael K. Ng | 視頻video | http://file.papertrans.cn/625/624623/624623.mp4 | 概述 | Markov chains are a powerful and widely used tool for analyzing a variety of stochastic systems over time.Systematically discusses all the models beginning with the basic to the more advanced and illu | 叢書名稱 | International Series in Operations Research & Management Science | 圖書封面 |  | 描述 | .Markov chains are a particularly powerful and widely used tool for analyzing a variety of stochastic (probabilistic) systems over time. This monograph will present a series of Markov models, starting from the basic models and then building up to higher-order models. Included in the higher-order discussions are multivariate models, higher-order multivariate models, and higher-order hidden models. In each case, the focus is on the important kinds of applications that can be made with the class of models being considered in the current chapter. Special attention is given to numerical algorithms that can efficiently solve the models...Therefore, Markov Chains: Models, Algorithms and Applications outlines recent developments of Markov chain models for modeling queueing sequences, Internet, re-manufacturing systems, reverse logistics, inventory systems, bio-informatics, DNA sequences, genetic networks, data mining, and many other practical systems.. | 出版日期 | Book 20061st edition | 關(guān)鍵詞 | Algorithms; Business and management applications; Markov chain; Markov chains; Markov decision process; M | 版次 | 1 | doi | https://doi.org/10.1007/0-387-29337-X | isbn_softcover | 978-1-4419-3986-9 | isbn_ebook | 978-0-387-29337-0Series ISSN 0884-8289 Series E-ISSN 2214-7934 | issn_series | 0884-8289 | copyright | Springer-Verlag US 2006 |
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