Back to Search
Start Over
Characterizations of robust optimality conditions via image space analysis.
- Source :
-
Optimization . Sep2020, Vol. 69 Issue 9, p2063-2083. 21p. - Publication Year :
- 2020
-
Abstract
- In this paper, we consider general scalar robust optimization problems and study the characterizations for optimality conditions in the general vector spaces where we do not require any topology on the considered space. By using the image space analysis and nonlinear separation function, we derive some necessary and sufficient optimality conditions, especially saddle point sufficient optimality conditions for scalar robust optimization problems. Moreover, we discuss the validity and effectiveness of our results for the shortest path problem. [ABSTRACT FROM AUTHOR]
- Subjects :
- *IMAGE analysis
*NONLINEAR analysis
*VECTOR spaces
*NONLINEAR functions
*TOPOLOGY
Subjects
Details
- Language :
- English
- ISSN :
- 02331934
- Volume :
- 69
- Issue :
- 9
- Database :
- Academic Search Index
- Journal :
- Optimization
- Publication Type :
- Academic Journal
- Accession number :
- 145302823
- Full Text :
- https://doi.org/10.1080/02331934.2020.1728269