Constructive Computation in Stochastic Models with Applications: The Rg-factorizations by Quan- N Li

Constructive Computation in Stochastic Models with Applications: The Rg-factorizations

byQuan- N Li

Hardcover | March 30, 2010

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"Constructive Computation in Stochastic Models with Applications: TheRG-Factorizations" provides a unified, constructive and algorithmic framework for numerical computation of many practical stochastic systems. It summarizes recent important advances in computational study of stochastic models from several crucial directions, such as stationary computation, transient solution, asymptotic analysis, reward processes, decision processes, sensitivity analysis as well as game theory. Graduate students, researchers and practicing engineers in the field of operations research, management sciences, applied probability, computer networks, manufacturing systems, transportation systems, insurance and finance, risk management and biological sciences will find this book valuable.

Dr. Quan-Lin Li is an Associate Professor at the Department of Industrial Engineering of Tsinghua University, China.

Title:Constructive Computation in Stochastic Models with Applications: The Rg-factorizationsFormat:HardcoverProduct dimensions:650 pages, 9.25 X 6.1 X 0 inShipping dimensions:650 pages, 9.25 X 6.1 X 0 inPublished:March 30, 2010Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3642114911

ISBN - 13:9783642114915

Appropriate for ages: All ages

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Table of Contents

Stochastic Models.- Block-Structured Markov Chains.- Markov Chains of GI/G/1 Type.- Asymptotic Analysis.- Markov Chains on Continuous State Space.- Block-Structured Markov Renewal Processes.- Examples of Practical Applications.- Transient Solution.- Quasi-Stationary Distributions.- Markov Reward Processes.- Sensitivity Analysis and Evolutionary Games.

Editorial Reviews

From the reviews: "This 672-page book is the result of a colossal undertaking on the part of the author. . Li''s book includes extensive bibliographies at the end of each chapter. The book uses a wide variety of methods and creates a welcome unifying presentation. This book is for the serious researcher in stochastic models, and is a great book with which a young researcher might quickly move into serious analysis of applied queueing models." (Myron Hlynka, Mathematical Reviews, Issue 2011 f) "This book deals with numerical . methods for computing aspects of Markov chains, such as stationary and transient probability distributions, first passage times, and visiting times to certain states. . this book is well organized, and should be a valuable reference for researchers and advanced graduate students working in numerical probability, structured matrices, etc. The results apply to large classes of stochastic models." (Charles Knessl, SIAM Review, Vol. 54 (1), 2012)