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Numerical Methods for Structured Markov Chains by Dario A. Bini 9780198527688

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Description

Intersecting two large research areas - numerical analysis and applied probability/queuing theory - this book is a self-contained introduction to the numerical solution of structured Markov chains, which have a wide applicability in queuing theory and stochastic modeling and include M/G/1 and GI/M/1-type Markov chain, quasi-birth-death processes, non-skip free queues and tree-like stochastic processes. Written for applied probabilists and numerical analysts, but accessible to engineers and scientists working on telecommunications and evaluation of computer systems performances, it provides a systematic treatment of the theory and algorithms for important families of structured Markov chains and a thorough overview of the current literature. The book, consisting of nine Chapters, is presented in three parts. Part 1 covers a basic description of the fundamental concepts related to Markov chains, a systematic treatment of the structure matrix tools, including finite Toeplitz matrices, displacement operators, FFT, and the infinite block Toeplitz matrices, their relationship with matrix power series and the fundamental problems of solving matrix equations and computing canonical factorizations. Part 2 deals with the description and analysis of structure Markov chains and includes M/G/1, quasi-birth-death processes, non-skip-free queues and tree-like processes. Part 3 covers solution algorithms where new convergence and applicability results are proved. Each chapter ends with bibliographic notes for further reading, and the book ends with an appendix collecting the main general concepts and results used in the book, a list of the main annotations and algorithms used in the book, and an extensive index.

About the Author
Dario A. Bini: Associate Editor of SIAM Journal on Matrix Analysis and Applications Member of the Editorial Board of the journal Calcolo by Springer Verlag Guy Latouche: Associate Editor of Advances in Performance Analysis Beatrice Meini: Member of the Editorial Board of the journal Stochastic Models, Marcel Dekker

Reviews
The book is useful for researchers and PhD students both in the field of applied probability and numerical analysis, it can be used by specialists dealing with telecommunication and computer systems. * Laszlo Lakatos, Zentralblatt MATH 1076 *
'...this is an excellent book' SIAM Review, Vol.49 No.1 pp.123-176



Book Information
ISBN 9780198527688
Author Dario A. Bini
Format Hardback
Page Count 340
Imprint Oxford University Press
Publisher Oxford University Press
Weight(grams) 754g
Dimensions(mm) 242mm * 163mm * 23mm

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