| 书目名称 | Modeling with Stochastic Programming |
| 编辑 | Alan J. King,Stein W. Wallace |
| 视频video | |
| 概述 | The first and only book discussing how to model stochastic programs.Mostly non-technical and focuses on the concepts.Written by two of the key international researchers.Includes supplementary material |
| 丛书名称 | Springer Series in Operations Research and Financial Engineering |
| 图书封面 |  |
| 描述 | 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 astand-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. |
| 出版日期 | Textbook 20121st edition |
| 关键词 | Real Options Modeling; Stochastic Discount Factors; Stochastic programming formulation; Uncertainty in |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-0-387-87817-1 |
| isbn_softcover | 978-1-4899-9212-3 |
| isbn_ebook | 978-0-387-87817-1Series ISSN 1431-8598 Series E-ISSN 2197-1773 |
| issn_series | 1431-8598 |
| copyright | Springer Science+Business Media New York 2012 |
发表于 2025-3-21 19:47:39
