Continuous-Time Markov Chains and Applications: A Singular Perturbation Approach

Author:   George Yin ,  Qing Zhang
Publisher:   Springer-Verlag New York Inc.
Volume:   v.37
ISBN:  

9780387982441


Pages:   387
Publication Date:   30 October 1997
Replaced By:   9781461443452
Format:   Hardback
Availability:   Out of print, replaced by POD   Availability explained
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Continuous-Time Markov Chains and Applications: A Singular Perturbation Approach


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Overview

Using a singular perturbation approach, this is a systematic treatment of those systems that naturally arise in queuing theory, control and optimisation, and manufacturing, gathering a number of ideas which were previously scattered throughout the literature. The book presents results on asymptotic expansions of the corresponding probability distributions, functional occupation measures, exponential upper bounds, and asymptotic normality. To bridge the gap between theory and applications, a large portion of the book is devoted to various applications, thus reducing the dimensionality for problems under Markovian disturbances and providing tools for dealing with large-scale and complex real-world situations. Much of this stems from the authors'recent research, presenting results which have not appeared elsewhere. An important reference for researchers in applied mathematics, probability and stochastic processes, operations research, control theory, and optimisation.

Full Product Details

Author:   George Yin ,  Qing Zhang
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Volume:   v.37
Dimensions:   Width: 15.60cm , Height: 2.30cm , Length: 23.40cm
Weight:   0.698kg
ISBN:  

9780387982441


ISBN 10:   0387982442
Pages:   387
Publication Date:   30 October 1997
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Replaced By:   9781461443452
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of print, replaced by POD   Availability explained
We will order this item for you from a manufatured on demand supplier.

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