Second-Order Optimality Conditions for Strict Pareto Minima and Weak Efficiency for Nonsmooth Constrained Vector Equilibrium Problems
DOI10.1080/01630563.2022.2132510zbMath1500.49006OpenAlexW4306410768MaRDI QIDQ5046152
Publication date: 27 October 2022
Published in: Numerical Functional Analysis and Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/01630563.2022.2132510
second-order constraint qualificationssecond-order necessary and sufficient optimality conditionslower and upper second-order strictly pseudoconvex mappingsnonsmooth constrained vector equilibrium problemsecond-order strict local Pareto minima
Nonconvex programming, global optimization (90C26) Nonlinear programming (90C30) Nonsmooth analysis (49J52) Convexity of real functions of several variables, generalizations (26B25)
Cites Work
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- Second-order optimality conditions for vector problems with continuously Fréchet differentiable data and second-order constraint qualifications
- Scalarization and optimality conditions for vector equilibrium problems
- Second-order optimality conditions in locally Lipschitz inequality-constrained multiobjective optimization
- On second-order Fritz John type optimality conditions in nonsmooth multiobjective programming
- Scalarization and optimality conditions for strict minimizers in multiobjective optimization via contingent epiderivatives
- Characterizations of strict local minima and necessary conditions for weak sharp minima
- First and second order sufficient conditions for strict minimality in nonsmooth vector optimization.
- Strict minimality conditions in nondifferentiable multiobjective programming
- Second-order necessary efficiency conditions for nonsmooth vector equilibrium problems
- Necessary conditions for weak minima and for strict minima of order two in nonsmooth constrained multiobjective optimization
- Optimality conditions in terms of contingent epiderivatives for strict local Pareto minima in vector optimization problems with constraints
- New second-order optimality conditions for vector equilibrium problems with constraints in terms of contingent derivatives
- Second-order necessary and sufficient optimality conditions for constrained vector equilibrium problem with applications
- Necessary conditions for weak efficiency for nonsmooth degenerate multiobjective optimization problems
- Second-order optimality conditions for problems with \(C^{1}\) data
- Optimality conditions for vector equilibrium problems
- Generalized convexity and related topics. Proceedings of the 8th international symposium on generalized convexity and monotonicity, Varese, Italy, July 4--8, 2005
- Stability in Mathematical Programming with Nondifferentiable Data
- First order optimality conditions in vector optimization involving stable functions
- Higher-order necessary and sufficient conditions for strict local pareto minima in terms of Studniarski's derivatives
- Strict Efficiency in Set-Valued Optimization
- Necessary and Sufficient Conditions for Isolated Local Minima of Nonsmooth Functions
- Second-Order Conditions for Optimization Problems with Constraints
- Higher-order Karush–Kuhn–Tucker optimality conditions for Borwein properly efficient solutions of multiobjective semi-infinite programming
- Studniarski's derivatives and efficiency conditions for constrained vector equilibrium problems with applications
- Properly Maximal Points in Product Spaces
- Higher order optimality conditions for inequality-constrained problems
- Convex Analysis
- Strict efficiency in vector optimization
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