Modeling with Stochastic Programming
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 regardi...
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| Κύριοι συγγραφείς: | , |
|---|---|
| Συγγραφή απο Οργανισμό/Αρχή: | |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | Αγγλικά |
| Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2024.
|
| Έκδοση: | 2nd ed. 2024. |
| Σειρά: | Springer Series in Operations Research and Financial Engineering,
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| Θέματα: | |
| Διαθέσιμο Online: | https://doi.org/10.1007/978-3-031-54550-4 |
| Ετικέτες: |
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| 100 | 1 | |a King, Alan J. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Modeling with Stochastic Programming |h [electronic resource] / |c by Alan J. King, Stein W. Wallace. |
| 250 | |a 2nd ed. 2024. | ||
| 264 | 1 | |a Cham : |b Springer International Publishing : |b Imprint: Springer, |c 2024. | |
| 300 | |a 1 online resource (XVIII, 202 p. 34 illus.). |b 15 illus. in color. | ||
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| 505 | 0 | |a Uncertainty in Optimization -- Information Structures and Feasibility -- Modeling the Objective Function -- Scenario Tree Generation, With Michal Kaut and Jamie Fairbrother -- High-Dimentional Dependent Randomness. With Zhaoxia Guo and Michal Kaut -- Service Network Design, With Arnt-Gunnar Lium and Teodor Gabriel Crainic -- A Multi-dimensional Newsboy Problem with Substitution, With Hajnalka Vaagen -- References -- Index. | |
| 520 | |a 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. | ||
| 532 | 8 | |a Accessibility summary: This PDF does Not fully comply with PDF/UA standards but does include limited screen reader support, descriptions for Non-text content (such as images and graphs), bookmarks for easy navigation, and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognise the importance of accessibility and welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us via https://www.springernature.com/gp/info/accessibility | |
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| 532 | 8 | |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com | |
| 588 | |a Print version record. | ||
| 650 | 0 | |a Probabilities. | |
| 650 | 0 | |a Operations research. | |
| 650 | 0 | |a Mathematical optimization. | |
| 650 | 0 | |a Numerical analysis. | |
| 650 | 1 | 4 | |a Probability Theory. |
| 650 | 2 | 4 | |a Operations Research and Decision Theory. |
| 650 | 2 | 4 | |a Optimization. |
| 650 | 2 | 4 | |a Numerical Analysis. |
| 700 | 1 | |a Wallace, Stein W. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
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| 830 | 0 | |a Springer Series in Operations Research and Financial Engineering, |x 2197-1773 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-3-031-54550-4 |
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| 950 | |a Mathematics and Statistics (SpringerNature-11649) | ||
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