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Markov Chains: Models, Algorithms and Applications (International Series in Operations Research & Management Science, 83)

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Markov Chains: Models, Algorithms and Applications (International Series in Operations Research & Management Science, 83) image
ISBN-10:

1441939865

ISBN-13:

9781441939869

Author(s): Ng, Michael K.; Ching, Wai-Ki
Edition: Softcover reprint of hardcover 1st ed. 2006
Released: Nov 25, 2010
Publisher: Springer
Format: Paperback, 222 pages
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Description:

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.

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