Markov Chains Models Algorithms and Applications is popular PDF and ePub book, written by Wai-Ki Ching in 2006-06-05, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Markov Chains Models Algorithms and Applications can be Read Online from any device for your convenience.
Markov Chains Models Algorithms and Applications Book PDF Summary
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.
Detail Book of Markov Chains Models Algorithms and Applications PDF
- Author : Wai-Ki Ching
- Release : 05 June 2006
- Publisher : Springer Science & Business Media
- ISBN : 9780387293370
- Genre : Mathematics
- Total Page : 212 pages
- Language : English
- PDF File Size : 9,6 Mb
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