Borzou Rostami, Guy Desaulniers, Fausto Errico and Andrea Lodi
Technical Report (2018)
An external link is available for this item| Additional Information: | CERC-Data Science for Real-time Decision-making |
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| Department: | Department of Mathematics and Industrial Engineering |
| Research Center: |
GERAD - Research Group in Decision Analysis CIRRELT - Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation |
| PolyPublie URL: | https://publications.polymtl.ca/64165/ |
| Report number: | G-2018-61 |
| Official URL: | https://www.gerad.ca/fr/papers/G-2018-61 |
| Date Deposited: | 10 Apr 2025 15:40 |
| Last Modified: | 10 Apr 2025 15:40 |
| Cite in APA 7: | Rostami, B., Desaulniers, G., Errico, F., & Lodi, A. (2018). A PCA-based approximation scheme for combinatorial optimization with uncertain and correlated data. (Technical Report n° G-2018-61). https://www.gerad.ca/fr/papers/G-2018-61 |
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