Fundamentals of Matrix-Analytic Methods
He, Qi-Ming
Sold by Kennys Bookstore, Olney, MD, U.S.A.
AbeBooks Seller since October 9, 2009
New - Hardcover
Condition: New
Quantity: 15 available
Add to basketSold by Kennys Bookstore, Olney, MD, U.S.A.
AbeBooks Seller since October 9, 2009
Condition: New
Quantity: 15 available
Add to basketNum Pages: 349 pages, biography. BIC Classification: PBT; PBWH; TBJ; UYA. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 21. Weight in Grams: 713. . 2013. 2014th Edition. Hardcover. . . . . Books ship from the US and Ireland.
Seller Inventory # V9781461473299
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.
From the book reviews:
“This book is a graduate textbook on matrix-analytic methods. It contains many examples and exercises and should be easily accessible to graduate students. ... it serves well not only as an introduction to matrix-analytic methods but also to prepare research students for dealing with open problems.” (Lothar Breuer, Mathematical Reviews, June, 2014)
“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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