Title
Modeling with Stochastic Programming (Springer Series in Operations Research and Financial Engineering),New
Delivery time: 8-12 business days (International)
Product DescriptionWhile 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 standalone or supplement for a second course in OR/MS or in optimizationoriented engineering disciplines where the instructor wants to explain where models come from and what the fundamental issues are. The book is easytoread, 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.ReviewFrom the reviews:It is the first book that systematically tries to answer the questions about modeling under uncertainty . The book is written in a very readable style . An experienced researcher who is already familiar with optimization under uncertainty will benefit from reading this book . (Laura Galli, Interfaces, Vol. 43 (5), SeptemberOctober, 2013)The book is intended as a textbook for graduate students and researchers interested in decision making under uncertainty. It is expected that the book will also be suitable for teaching some operations research courses for undergraduates. this textbook can indeed be very useful for mathematics students as a methodological guide to the applications of stochastic programming methods. The structure of the textbook is well adapted to teaching purposes. (A. H. ilinskas, Mathematical Reviews, January, 2013)From the Back CoverWhile 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 standalone or supplement for a second course in OR/MS or in optimizationoriented engineering disciplines where the instructor wants to explain where models come from and what the fundamental issues are.The book is easytoread, 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.
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Shipping & Returns
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We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.
Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
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We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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