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Bruno Sericola - Markov Chains: Theory and Applications - 9781848214934 - V9781848214934
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Markov Chains: Theory and Applications

€ 177.60
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Description for Markov Chains: Theory and Applications Hardback. This book presents a thorough treatment of the theory of denumerable Markov chains, both in discrete and in continuous time. In continuous time, it carefully examines the explosion phenomenon and the Kolmogorov equations. It then applies these results to birth and death processes. Num Pages: 410 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 235 x 162 x 27. Weight in Grams: 738.

Markov chains are a fundamental class of stochastic processes. They are widely used to solve problems in a large number of domains such as operational research, computer science, communication networks and manufacturing systems. The success of Markov chains is mainly due to their simplicity of use, the large number of available theoretical results and the quality of algorithms developed for the numerical evaluation of many metrics of interest.
The author presents the theory of both discrete-time and continuous-time homogeneous Markov chains. He carefully examines the explosion phenomenon, the Kolmogorov equations, the convergence to equilibrium and the passage time distributions ... Read more

Contents

1. Discrete-Time Markov Chains
2. Continuous-Time Markov Chains
3. Birth-and-Death Processes
4. Uniformization
5. Queues

About the Authors

Bruno Sericola is a Senior Research Scientist at Inria Rennes – Bretagne Atlantique in France. His main research activity is in performance evaluation of computer and communication systems, dependability analysis of fault-tolerant systems and stochastic models.

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Product Details

Format
Hardback
Publication date
2013
Publisher
ISTE Ltd and John Wiley & Sons Inc United Kingdom
Number of pages
416
Condition
New
Number of Pages
410
Place of Publication
London, United Kingdom
ISBN
9781848214934
SKU
V9781848214934
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50

About Bruno Sericola
Bruno Sericola is a senior Research Scientist at Inria Rennes - Bretagne Atlantique in France. His main research activity is in performance evaluation of computer and communication systems, dependability analysis of fault-tolerant systems and stochastic models.

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