The decision rule approach to optimization under uncertainty : methodology and applications
Angelos Georghiou, Daniel Kuhn, Wolfram Wiesemann
| Year of publication: |
2019
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|---|---|
| Authors: | Georghiou, Angelos ; Kuhn, Daniel ; Wiesemann, Wolfram |
| Published in: |
Computational Management Science : CMS. - Berlin : Springer, ISSN 1619-697X, ZDB-ID 2136735-8. - Vol. 16.2019, 4, p. 545-576
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| Subject: | Robust optimization | Stochastic programming | Decision rules | Optimization under uncertainty | Theorie | Theory | Entscheidung unter Unsicherheit | Decision under uncertainty | Mathematische Optimierung | Mathematical programming | Stochastischer Prozess | Stochastic process | Risiko | Risk | Robustes Verfahren | Robust statistics | Entscheidung | Decision |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1007/s10287-018-0338-5 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012126678