Numerical Methods for Structured Markov Chains

Author:   Dario A. Bini (Professor of Numerical Analysis, Department of Mathematics, University of Pisa) ,  Guy Latouche (Professor of Applied Probability, Department of Informatics at the Universite Libre de Bruxelles) ,  Beatrice Meini (Associate Professor of Numerical Analysis, Department of Mathematics, University of Pisa)
Publisher:   Oxford University Press
ISBN:  

9780198527688


Pages:   340
Publication Date:   03 February 2005
Format:   Hardback
Availability:   To order   Availability explained
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Numerical Methods for Structured Markov Chains


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Overview

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.

Full Product Details

Author:   Dario A. Bini (Professor of Numerical Analysis, Department of Mathematics, University of Pisa) ,  Guy Latouche (Professor of Applied Probability, Department of Informatics at the Universite Libre de Bruxelles) ,  Beatrice Meini (Associate Professor of Numerical Analysis, Department of Mathematics, University of Pisa)
Publisher:   Oxford University Press
Imprint:   Oxford University Press
Dimensions:   Width: 16.30cm , Height: 2.30cm , Length: 24.20cm
Weight:   0.754kg
ISBN:  

9780198527688


ISBN 10:   0198527683
Pages:   340
Publication Date:   03 February 2005
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   To order   Availability explained
Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us.

Table of Contents

TOOLS Introduction to Markov chains Structured matrix analysis Matrix equations and canonical factorization STRUCTURED MARKOV CHAINS M/G/1-type Markov chains Phase-type queues ALGORITHMS Functional iterations Logarithmic reduction and cyclic reduction Alternative approaches Specialized structures Appendix Notations List of Algorithms Bibliography

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


'...this is an excellent book which will be of great value to researchers in computational aspects of queuing theory and applied stochastic modeling. It should also be an important resource for the more mathematically sophisticated practitioners in those same areas.' SIAM Review, Vol.49 No.1 pp.123-176


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


Author Information

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

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