Kronecker Modeling and Analysis of Multidimensional Markovian Systems

Author:   Tuğrul Dayar
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2018
ISBN:  

9783319971285


Pages:   269
Publication Date:   10 October 2018
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Kronecker Modeling and Analysis of Multidimensional Markovian Systems


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Overview

This work considers Kronecker-based models with finite as well as countably infinite state spaces for multidimensional Markovian systems by paying particular attention to those whose reachable state spaces are smaller than their product state spaces. Numerical methods for steady-state and transient analysis of Kronecker-based multidimensional Markovian models are discussed in detail together with implementation issues. Case studies are provided to explain concepts and motivate use of methods. Having grown out of research from the past twenty years, this book expands upon the author’s previously published book Analyzing Markov Chains using Kronecker Products (Springer, 2012). The subject matter is interdisciplinary and at the intersection of applied mathematics and computer science. The book will be of use to researchers and graduate students with an understanding of basic linear algebra, probability, and discrete mathematics.

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Author:   Tuğrul Dayar
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2018
Weight:   0.628kg
ISBN:  

9783319971285


ISBN 10:   331997128
Pages:   269
Publication Date:   10 October 2018
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Introduction.- Modeling with Kronecker Products.- Avoiding Unreachable States.- Preprocessing.- Vector-Kronecker Product Multiplication.- Steady-State Analysis.- Transient Analysis.- Conclusion.

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