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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| Autors principals: | , |
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| Autor corporatiu: | |
| Format: | Electrònic eBook |
| Idioma: | anglès |
| Publicat: |
Cham :
Springer International Publishing : Imprint: Springer,
2024.
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| Edició: | 2nd ed. 2024. |
| Col·lecció: | Springer Series in Operations Research and Financial Engineering,
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| Matèries: | |
| Accés en línia: | https://doi.org/10.1007/978-3-031-54550-4 |
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Taula de continguts:
- 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.