Wai-Ki Ching
Markov Chains: Models, Algorithms and Applications - International Series in Operations Research & Management Science Wai-Ki Ching Softcover reprint of hardcover 1st ed. 2006 edition

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Markov Chains: Models, Algorithms and Applications - International Series in Operations Research & Management Science

Wai-Ki Ching

Softcover reprint of hardcover 1st ed. 2006 edition

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.

208 pages, 18 black & white illustrations, 29 black & white tables, biography

メディア	書籍 Paperback Book (ソフトカバーで背表紙を接着した本)
リリース済み	2010年11月25日
ISBN13	9781441939869
出版社	Springer-Verlag New York Inc.
ページ数	208
寸法	155 × 235 × 12 mm · 317 g
言語	英語