9781447132691-1447132696-Markov Chains and Stochastic Stability (Communications and Control Engineering)

Markov Chains and Stochastic Stability (Communications and Control Engineering)

ISBN-13: 9781447132691
ISBN-10: 1447132696
Edition: 1993
Author: Richard L. Tweedie, Sean P. Meyn
Publication date: 2012
Publisher: Springer
Format: Paperback 566 pages
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Book details

ISBN-13: 9781447132691
ISBN-10: 1447132696
Edition: 1993
Author: Richard L. Tweedie, Sean P. Meyn
Publication date: 2012
Publisher: Springer
Format: Paperback 566 pages

Summary

Markov Chains and Stochastic Stability (Communications and Control Engineering) (ISBN-13: 9781447132691 and ISBN-10: 1447132696), written by authors Richard L. Tweedie, Sean P. Meyn, was published by Springer in 2012. With an overall rating of 3.5 stars, it's a notable title among other Robotics (Hardware & DIY, Internet, Groupware, & Telecommunications, Networking & Cloud Computing, Electrical & Electronics, Engineering, Telecommunications & Sensors, Computer Science) books. You can easily purchase or rent Markov Chains and Stochastic Stability (Communications and Control Engineering) (Paperback) from BooksRun, along with many other new and used Robotics books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.59.

Description

Markov Chains and Stochastic Stability is part of the Communications and Control Engineering Series (CCES) edited by Professors B.W. Dickinson, E.D. Sontag, M. Thoma, A. Fettweis, J.L. Massey and J.W. Modestino. The area of Markov chain theory and application has matured over the past 20 years into something more accessible and complete. It is of increasing interest and importance. This publication deals with the action of Markov chains on general state spaces. It discusses the theories and the use to be gained, concentrating on the areas of engineering, operations research and control theory. Throughout, the theme of stochastic stability and the search for practical methods of verifying such stability, provide a new and powerful technique. This does not only affect applications but also the development of the theory itself. The impact of the theory on specific models is discussed in detail, in order to provide examples as well as to demonstrate the importance of these models. Markov Chains and Stochastic Stability can be used as a textbook on applied Markov chain theory, provided that one concentrates on the main aspects only. It is also of benefit to graduate students with a standard background in countable space stochastic models. Finally, the book can serve as a research resource and active tool for practitioners.
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