Numerical Methods for Solving Discrete Event Systems (Hardcover)
Language: English
Published by Springer International Publishing AG, Cham, 2022
- Hardcover
- New
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
AbeBooks seller since October 12, 2005
Condition: New
£ 74.88
Quantity: 1 available
Add to basketItem description from seller
Hardcover. This graduate textbook provides an alternative to discrete event simulation. It describes how to formulate discrete event systems, how to convert them into Markov chains, and how to calculate their transient and equilibrium probabilities. The most appropriate methods for finding these probabilities are described in some detail, and templates for efficient algorithms are provided. These algorithms can be executed on any laptop, even in cases where the Markov chain has hundreds of thousands of states. This book features the probabilistic interpretation of Gaussian elimination, a concept that unifies many of the topics covered, such as embedded Markov chains and matrix analytic methods.The material provided should aid practitioners significantly to solve their problems. This book also provides an interesting approach to teaching courses of stochastic processes. This book features the probabilistic interpretation of Gaussian elimination, a concept that unifies many of the topics covered, such as embedded Markov chains and matrix analytic methods.The material provided should aid practitioners significantly to solve their problems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…
Seller Inventory # 9783031100819
- Title
- Numerical Methods for Solving Discrete Event Systems (Hardcover)
- Author
- Winfried Grassmann
- Publisher
- Springer International Publishing AG, Cham
- Publication year
- 2022
- Condition
- new
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3031100816
- ISBN 13
- 9783031100819
This graduate textbook provides an alternative to discrete event simulation. It describes how to formulate discrete event systems, how to convert them into Markov chains, and how to calculate their transient and equilibrium probabilities. The most appropriate methods for finding these probabilities are described in some detail, and templates for efficient algorithms are provided. These algorithms can be executed on any laptop, even in cases where the Markov chain has hundreds of thousands of states. This book features the probabilistic interpretation of Gaussian elimination, a concept that unifies many of the topics covered, such as embedded Markov chains and matrix analytic methods.
The material provided should aid practitioners significantly to solve their problems. This book also provides an interesting approach to teaching courses of stochastic processes.
"Synopsis" may belong to another edition of this title.
About the Author
Javad Tavakoli holds a PhD in Categorical Algebra from Dalhousie University, NS, Canada. In 1996 he proudly had the opportunity to meet with Winfried Grassmann at the University of Saskatchewan, Canada, where he started his new research area in Applied Probability and Stochastic Processes. Javad Tavakoli has been a researcher and educator at the University of British Columbia Okanagan, Canada since 2003. He published a number of papers in Queuing Theory, mostly with Winfried Grassmann. Javad Tavakoli also has received several awards for teaching excellence and published a pre-calculus book from the indigenous perspective.
"About the title" may belong to another edition of this title.
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