Nonconcave robust optimization with discrete strategies under Knightian uncertainty
We study robust stochastic optimization problems in the quasi-sure setting in discrete-time. The strategies in the multi-period-case are restricted to those taking values in a discrete set. The optimization problems under consideration are not concave. We provide conditions under which a maximizer e...
Saved in:
Main Authors: | Neufeld, Ariel, Šikić, Mario |
---|---|
其他作者: | School of Physical and Mathematical Sciences |
格式: | Article |
語言: | English |
出版: |
2020
|
主題: | |
在線閱讀: | https://hdl.handle.net/10356/143210 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
機構: | Nanyang Technological University |
語言: | English |
相似書籍
-
A target oriented robust optimization model for selection of engineering project portfolio under uncertainty
由: Aviso, Kathleen B., et al.
出版: (2017) -
ROBUSTNESS OPTIMIZATION IN PRESCRIPTIVE ANALYTICS
由: ZHOU MINGLONG
出版: (2021) -
Tractable robust expected utility and risk models for portfolio optimization
由: Natarajan, K., et al.
出版: (2013) -
OPTIMIZATION UNDER UNCERTAINTY USING EXPONENTIAL CONES
由: CHEN LI
出版: (2022) -
Robust optimization for unconstrained simulation-based problems
由: Bertsimas, D., et al.
出版: (2014)