Numerical Methods for Structured Markov Chains

Numerical Methods for Structured Markov Chains
Author :
Publisher : Oxford University Press, USA
Total Pages : 340
Release :
ISBN-10 : 9780198527688
ISBN-13 : 0198527683
Rating : 4/5 (683 Downloads)

Book Synopsis Numerical Methods for Structured Markov Chains by : Dario A. Bini

Download or read book Numerical Methods for Structured Markov Chains written by Dario A. Bini and published by Oxford University Press, USA. This book was released on 2005-02-03 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 toengineers 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 andanalysis 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 bookends 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.


Numerical Methods for Structured Markov Chains Related Books

Numerical Methods for Structured Markov Chains
Language: en
Pages: 340
Authors: Dario A. Bini
Categories: Computers
Type: BOOK - Published: 2005-02-03 - Publisher: Oxford University Press, USA

DOWNLOAD EBOOK

Intersecting two large research areas - numerical analysis and applied probability/queuing theory - this book is a self-contained introduction to the numerical
Numerical Methods for Structured Markov Chains
Language: en
Pages: 340
Authors: Dario A. Bini
Categories: Mathematics
Type: BOOK - Published: 2005-02-03 - Publisher: OUP Oxford

DOWNLOAD EBOOK

Intersecting two large research areas - numerical analysis and applied probability/queuing theory - this book is a self-contained introduction to the numerical
Markov Chains: Models, Algorithms and Applications
Language: en
Pages: 212
Authors: Wai-Ki Ching
Categories: Mathematics
Type: BOOK - Published: 2006-06-05 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Markov chains are a particularly powerful and widely used tool for analyzing a variety of stochastic (probabilistic) systems over time. This monograph will pres
Analyzing Markov Chains using Kronecker Products
Language: en
Pages: 91
Authors: Tugrul Dayar
Categories: Mathematics
Type: BOOK - Published: 2012-07-25 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Kronecker products are used to define the underlying Markov chain (MC) in various modeling formalisms, including compositional Markovian models, hierarchical Ma
Numerical Solution of Algebraic Riccati Equations
Language: en
Pages: 261
Authors: Dario A. Bini
Categories: Mathematics
Type: BOOK - Published: 2012-03-31 - Publisher: SIAM

DOWNLOAD EBOOK

This treatment of the basic theory of algebraic Riccati equations describes the classical as well as the more advanced algorithms for their solution in a manner