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Stochastic Programming: Modeling Decision Problems Under Uncertainty. 2020 ed.
・ISBN 978-3-030-29221-8 paper EUR 79.99
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| 著者・編者 | Klein Haneveld, Willem K. / van der Vlerk, Maarten H. / Romeijnders, Ward, |
|---|---|
| シリーズ | (Graduate Texts in Operations Research) |
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2020 |
| ページ数 | 249 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A02-98871＞ |
解説
This book provides an essential introduction to Stochastic Programming, especially intended for graduate students. The book begins by exploring a linear programming problem with random parameters, representing a decision problem under uncertainty. Several models for this problem are presented, including the main ones used in Stochastic Programming: recourse models and chance constraint models. The book not only discusses the theoretical properties of these models and algorithms for solving them, but also explains the intrinsic differences between the models. In the book's closing section, several case studies are presented, helping students apply the theory covered to practical problems.
The book is based on lecture notes developed for an Econometrics and Operations Research course for master students at the University of Groningen, the Netherlands - the longest-standing Stochastic Programming course worldwide.