Fundamentals of Matrix-Analytic Methods

Author:   Qi-Ming He
Publisher:   Springer-Verlag New York Inc.
Edition:   2014 ed.
ISBN:  

9781461473299


Pages:   349
Publication Date:   07 August 2013
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Fundamentals of  Matrix-Analytic Methods


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Overview

Fundamentals of Matrix-Analytic Methods targets advanced-level students in mathematics, engineering and computer science. It focuses on the fundamental parts of Matrix-Analytic Methods, Phase-Type Distributions, Markovian arrival processes and Structured Markov chains and matrix geometric solutions. New materials and techniques are presented for the first time in research and engineering design. This book emphasizes stochastic modeling by offering probabilistic interpretation and constructive proofs for Matrix-Analytic Methods. Such an approach is especially useful for engineering analysis and design. Exercises and examples are provided throughout the book.

Full Product Details

Author:   Qi-Ming He
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   2014 ed.
Dimensions:   Width: 15.50cm , Height: 2.10cm , Length: 23.50cm
Weight:   6.742kg
ISBN:  

9781461473299


ISBN 10:   1461473292
Pages:   349
Publication Date:   07 August 2013
Audience:   Professional and scholarly ,  Professional & Vocational
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.

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Reviews

From the reviews: The book under review is conceived to cover three fundamental aspects of matrix-analytic methods and two of their important application areas. ... The book contains a large number of exercises, some of them being given for readers to review basic calculus, linear algebra, probability theory and matrix theory. ... I consider this book as a useful and instructive source for those who are interested in topics related to matrix-analytic methods. (Gabriel V. Orman, zbMATH, Vol. 1278, 2014)


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