Random sampling and machine learning to understand good decompositions
S. Basso, A. Ceselli, A. Tettamanzi
| Year of publication: |
2020
|
|---|---|
| Authors: | Basso, S. ; Ceselli, A. ; Tettamanzi, A. |
| Published in: |
Decomposition methods for hard optimization problems. - New York, NY, USA : Springer. - 2020, p. 501-526
|
| Subject: | Dantzig-Wolfe decomposition | Machine learning | Random sampling | Stichprobenerhebung | Sampling | Künstliche Intelligenz | Artificial intelligence | Dekompositionsverfahren | Decomposition method | Theorie | Theory | Lernprozess | Learning process |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz im Buch ; Book section |
| Language: | English |
| Other identifiers: | 10.1007/s10479-018-3067-9 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012157111