Vector topical function, abstract convexity and image space analysis
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Publication:1670127
DOI10.1007/s10957-018-1215-7zbMath1394.90523OpenAlexW2782668517MaRDI QIDQ1670127
Publication date: 4 September 2018
Published in: Journal of Optimization Theory and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10957-018-1215-7
envelopeabstract convexityimage space analysisvector topical functionvector topical optimizationvector conjugation
Related Items (3)
Global optimization of the difference of two increasing plus-convex-along-rays functions ⋮ Zero duality gap conditions via abstract convexity ⋮ Abstract convexity of set-valued topical functions with application in DC-type optimization
Uses Software
Cites Work
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- Optimization of the difference of topical functions
- Farkas-type theorems for positively homogeneous systems in ordered topological vector spaces
- A duality theory for set-valued functions. I: Fenchel conjugation theory
- Generalized Fenchel's conjugation formulas and duality for abstract convex functions
- Some ergodic results on stochastic iterative discrete events systems
- Image space analysis to Lagrange-type duality for constrained vector optimization problems with applications
- Increasing convex-along-rays functions with applications to global optimization
- Downward sets and their separation and approximation properties
- Abstract convexity in measure theory and in convex analysis.
- On the Burnside problem for semigroups of matrices in the \((\max,+)\) algebra
- Abstract convexity of radiant functions with applications
- Vector topical functions and Farkas type theorems with applications
- Maximal abstract monotonicity and generalized Fenchel's conjugation formulas
- Constrained optimization and image space analysis. Vol. 1: Separation of sets and optimality conditions
- Inf-convolution, sous-additivite, convexite des fonctions numériques
- Vector Optimization with Infimum and Supremum
- Best approximation by downward sets with applications
- Quasiconvex duality theory by generalized conjugation methods
- An Extension of Duality-Stability Relations to Nonconvex Optimization Problems
- On $\Phi $-Convexity in Extremal Problems
- Abstract convex sets with respect to the class of general min-type functions
- Topical and sub-topical functions, downward sets and abstract convexity
- Abstract convexity:examples and applications
- Set-valued Optimization
- MINKOWSKI DUALITY AND ITS APPLICATIONS
- Further investigation of abstract convexity with respect to the class of general min-type functions
- Abstract convexity and global optimization
- On conjugate maps and directional derivatives of convex vector functions
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