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Decomposition Methods for Two-Stage Stochastic Integer Programs
| Content Provider | Semantic Scholar |
|---|---|
| Author | Hemmecke, Raymond Schultz, Rüdiger |
| Copyright Year | 2001 |
| Abstract | Stochastic programs are proper tools for real-time optimization if real-time features arise due to lack of data information at the moment of decision. The paper’s focus is at two-stage linear stochastic programs involving integer requirements. After a discussion of basic structural properties, two decomposition approaches are developed. While the first approach is directed to decomposition of the stochastic program itself, the second deals with decomposition of the related Graver test set. |
| Starting Page | 601 |
| Ending Page | 622 |
| Page Count | 22 |
| File Format | PDF HTM / HTML |
| DOI | 10.1007/978-3-662-04331-8_30 |
| Alternate Webpage(s) | http://www.uni-duisburg.de/FB11/disma/ramon/articles/preprint4.ps |
| Alternate Webpage(s) | https://doi.org/10.1007/978-3-662-04331-8_30 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |