Modeling with Stochastic Programming
Language: English
Published by Springer New York, 2014
Series: Book 18 of 43 - Springer Series in Operations Research and Financial Engineering
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 74.72
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Add to basketItem description from seller
Druck auf Anfrage Neuware - Printed after ordering - While there are several texts on how to solve and analyze stochastic programs, this is the first text to address basic questions about how to model uncertainty, and how to reformulate a deterministic model so that it can be analyzed in a stochastic setting. This text would be suitable as a stand-alone or supplement for a second course in OR/MS or in optimization-oriented engineering disciplines where the instructor wants to explain where models come from and what the fundamental issues are.The book is easy-to-read, highly illustrated with lots of examples and discussions. It will be suitable for graduate students and researchers working in operations research, mathematics, engineering and related departments where there is interest in learning how to model uncertainty.Alan King is a Research Staff Member at IBM's Thomas J. Watson Research Center in New York.Stein W. Wallace is a Professor of Operational Research at Lancaster University Management School in England.…
Seller Inventory # 9781489992123
- Title
- Modeling with Stochastic Programming
- Author
- Stein W Wallace
- Publisher
- Springer New York
- Publication year
- 2014
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 148999212X
- ISBN 13
- 9781489992123
- Item weight
- 300 grams
- Dimensions
- 235x155x11 mm
- Series
- Book 18 of 43: Springer Series in Operations Research and Financial Engineering
"Synopsis" may belong to another edition of this title.
From the Back Cover
While there are several texts on how to solve and analyze stochastic programs, this is the first text to address basic questions about how to model uncertainty, and how to reformulate a deterministic model so that it can be analyzed in a stochastic setting. This text would be suitable as a stand-alone or supplement for a second course in OR/MS or in optimization-oriented engineering disciplines where the instructor wants to explain where models come from and what the fundamental issues are.
The book is easy-to-read, highly illustrated with lots of examples and discussions. It will be suitable for graduate students and researchers working in operations research, mathematics, engineering and related departments where there is interest in learning how to model uncertainty.
Alan King is a Research Staff Member at IBM's Thomas J. Watson Research Center in New York.
Stein W. Wallace is a Professor of Operational Research at Lancaster University Management School inEngland.
"About the title" may belong to another edition of this title.
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