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

Wai-Ki Ching

ISBN 10: 0387293353 / ISBN 13: 9780387293356

Published by Springer, 2005

About this Item

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Seller Inventory # ERICA82903872933534

Bibliographic Details

• Title: Markov Chains: Models, Algorithms and Applications (International Series in Operations Research & Management Science)
• Publisher: Springer
• Publication Date: 2005
• Language: English
• ISBN 10: 0387293353
• ISBN 13: 9780387293356
• Binding: hardcover
• Condition: Very Good
• Dust Jacket Condition: Dust Jacket Included
• Book Type: book

About this title

Synopsis

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.

About the Author

Michael K. Ng is an Associate Professor in the Department of Mathematics and also Adjunct Research Fellow in the E-Business Technology Institute at The University of Hong Kong.