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Optimality conditions and duality results for non-differentiable interval optimization problems
- Source :
- Journal of Applied Mathematics and Computing. 50:59-71
- Publication Year :
- 2015
- Publisher :
- Springer Science and Business Media LLC, 2015.
-
Abstract
- In present study, an interval optimization problem is addressed in which both objective and constraint functions are non-differentiable. The existence of the solution for this problem is investigated. Further, the necessary and sufficient optimality conditions are explored. Moreover, the weak and strong duality relations between the primal and the corresponding dual interval optimization problem are established. Counterexamples are discussed to justify the present work.
- Subjects :
- Mathematical optimization
021103 operations research
Optimization problem
Duality gap
Applied Mathematics
010102 general mathematics
0211 other engineering and technologies
Duality (optimization)
02 engineering and technology
Slater's condition
01 natural sciences
Weak duality
Computational Mathematics
Vector optimization
Strong duality
Wolfe duality
0101 mathematics
Mathematics
Subjects
Details
- ISSN :
- 18652085 and 15985865
- Volume :
- 50
- Database :
- OpenAIRE
- Journal :
- Journal of Applied Mathematics and Computing
- Accession number :
- edsair.doi...........af2e03d2086643d8e4779b18debbf5d6
- Full Text :
- https://doi.org/10.1007/s12190-014-0858-2