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A distributionally robust perspective on uncertainty quantification and chance constrained programming
| File | Description | Size | Format | |
|---|---|---|---|---|
 druqcc.pdf | Accepted version | 465.81 kB | Adobe PDF | View/Open |
| Title: | A distributionally robust perspective on uncertainty quantification and chance constrained programming |
| Authors: | Hanasusanto, GA Roitch, V Kuhn, D Wiesemann, W |
| Item Type: | Journal Article |
| Issue Date: | 1-Jun-2015 |
| URI: | http://hdl.handle.net/10044/1/23425 |
| DOI: | https://dx.doi.org/10.1007/s10107-015-0896-z |
| ISSN: | 0025-5610 |
| Start Page: | 35 |
| End Page: | 62 |
| Journal / Book Title: | Mathematical Programming |
| Volume: | 151 |
| Issue: | 1 |
| Copyright Statement: | The final publication is available at Springer via https://dx.doi.org/10.1007/s10107-015-0896-z |
| Appears in Collections: | Imperial College Business School |