Modeling with Stochastic Programming - Hardcover

Modeling with Stochastic Programming - Hardcover

$121.48
Skip to product information
Modeling with Stochastic Programming - Hardcover

Modeling with Stochastic Programming - Hardcover

$121.48

by Alan J. King (Author), Stein W. Wallace (Author)

This is an updated version of what is still the only text to address basic questions about how to model uncertainty in mathematical programming, including how to reformulate a deterministic model so that it can be analyzed in a stochastic setting. This second edition has important extensions regarding how to represent random phenomena in the models (also called scenario generation) as well as a new chapter on multi-stage models.

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 modeling 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 and head of Center for Shipping and Logistics at NHH Norwegian School of Economics, Bergen, Norway.


Back Jacket

This is an updated version of what is still the only text to address basic questions about how to model uncertainty in mathematical programming, including how to reformulate a deterministic model so that it can be analyzed in a stochastic setting. This second edition has important extensions regarding how to represent random phenomena in the models (also called scenario generation) as well as a new chapter on multi-stage models.

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 modeling 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 and head of Center for Shipping and Logistics at NHH Norwegian School of Economics, Bergen, Norway.


Author Biography

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 and head of Center for Shipping and Logistics at NHH Norwegian School of Economics, Bergen, Norway.


Number of Pages: 202
Dimensions: 0.56 x 9.21 x 6.14 IN
Illustrated: Yes
Publication Date: June 01, 2024

Made with care

Great value

Elegant design

Quality materials

Details

This product is crafted with quality materials to ensure durability and performance. Designed with your convenience in mind, it seamlessly fits into your everyday life.

Shipping & Returns

We strive to process and ship all orders in a timely manner, working diligently to ensure that your items are on their way to you as soon as possible.

We are committed to ensuring a positive shopping experience for all our customers. If for any reason you wish to return an item, we invite you to reach out to our team for assistance, and we will evaluate every return request with care and consideration.

Play video

Shop The Full Collection

!Ah y Le Lo Lay, Le Lo Ley! Musica Tipica de Puerto Rico - Paperback

!Búscalo! (Look It Up!): A Quick Reference Guide to Spanish Grammar and Usage - Hardcover

!Búscalo! (Look It Up!): A Quick Reference Guide to Spanish Grammar and Usage - Paperback

!Eureka! - Hardcover