Constant Depth Decision Rules for multistage optimization under uncertainty
Year of publication: |
2021
|
---|---|
Authors: | Guigues, Vincent ; Juditsky, Anatoli ; Nemirovskij, Arkadij S. |
Published in: |
European journal of operational research : EJOR. - Amsterdam : Elsevier, ISSN 0377-2217, ZDB-ID 243003-4. - Vol. 295.2021, 1 (16.11.), p. 223-232
|
Subject: | Decision rules | Robust optimization | Stochastic Dual Dynamic Programming, | Stochastic programming | Mathematische Optimierung | Mathematical programming | Theorie | Theory | Stochastischer Prozess | Stochastic process | Dynamische Optimierung | Dynamic programming | Entscheidung unter Unsicherheit | Decision under uncertainty | Entscheidung | Decision | Robustes Verfahren | Robust statistics |
-
Proper efficiency and tradeoffs in multiple criteria and stochastic optimization
Engau, Alexander, (2017)
-
The decision rule approach to optimization under uncertainty : methodology and applications
Georghiou, Angelos, (2019)
-
Task assignment under uncertainty : stochastic programming and robust optimisation approaches
Zhen, Lu, (2015)
- More ...
-
Sparse non Gaussian component analysis by semidefinite programming
Diederichs, Elmar, (2011)
-
Sparse non Gaussian component analysis by semidefinite programming
Diederichs, Elmar, (2011)
-
Direct Estimation of the Index Coefficient in a Single-Index
Hristache, Marian, (2000)
- More ...