Constructive Computation in Stochastic Models with Applications: The RG-Factorizations

Author:   Quan-Lin Li
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN:  

9783642114915


Pages:   650
Publication Date:   30 March 2010
Format:   Hardback
Availability:   In Print   Availability explained
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Constructive Computation in Stochastic Models with Applications: The RG-Factorizations


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Overview

""Constructive Computation in Stochastic Models with Applications: The RG-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.

Full Product Details

Author:   Quan-Lin Li
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Dimensions:   Width: 15.50cm , Height: 3.80cm , Length: 23.50cm
Weight:   1.157kg
ISBN:  

9783642114915


ISBN 10:   3642114911
Pages:   650
Publication Date:   30 March 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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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)


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