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Optimality conditions for directionally differentiable multi-objective programming problems
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Necessary conditions for optimality of nondifferentiable convex multiobjective programming
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On proper and improper efficient solutions of optimal problems with multicriteria
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Weak Pareto-optimal necessary conditions in a nondifferentiable multiobjective program on a Banach space
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Farkas' theorem of nonconvex type and its application to a min-max problem
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Directional differentiability of the optimal value function in a nonlinear programming problem
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Characterization theorems for constrained approximation problems via optimization theory
inferredcites →https://doi.org/10.1016/0022-247x(68)90201-1openalex-snapshot
Proper efficiency and the theory of vector maximization
inferredcites →https://doi.org/10.1016/s0076-5392(09)x6017-0openalex-snapshot
Theory of Multiobjective Optimization
inferredcites →https://doi.org/10.1109/tcs.1986.1085950openalex-snapshot
Optimal design using min - max criteria for two-dimensional recursive digital filters
inferredcites →https://doi.org/10.1109/tsmc.1984.6313334openalex-snapshot
Necessary and sufficient conditions for the efficient solutions of nondifferentiable multiobjective problems
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Optimality Conditions for Quasi-Differentiable Programs with Application to Two-Level Optimization
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Optimization and Nonsmooth Analysis
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mathematical programming with data perturbations
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Nonlinear Multiobjective Programming
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Nonlinear Multiobjective Programming
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Optimization under Composite Monotonic Constraints and Constrained Optimization over the Efficient Set
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Tangential Subdifferential and Its Role in Optimization
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Qualification conditions for multivalued functions in Banach spaces with applications to nonsmooth vector optimization problems
inferred← citeshttps://doi.org/10.1007/bf02192200openalex-snapshot
Directionally differentiable multiobjective optimization involving discrete inclusions
inferred← citeshttps://doi.org/10.1007/bf02192205openalex-snapshot
Dual approach to minimization on the set of pareto-optimal solutions
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Dini and Hadamard directional derivatives in multiobjective optimization: an overview of some results
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On Optimality Conditions for a Class of Nondifferentiable Multiobjective Programming Problems with Vanishing Constraints
inferred← citeshttps://doi.org/10.1007/s10479-023-05368-5openalex-snapshot
On directionally differentiable multiobjective programming problems with vanishing constraints
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Nonsmooth multiobjective programming: strong Kuhn–Tucker conditions
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Lagrange Multipliers for Multiobjective Programs with a General Preference
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Strong Kuhn–Tucker conditions and constraint qualifications in locally Lipschitz multiobjective optimization problems
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On multiobjective semi-infinite programs with vanishing constraints and tangential subdifferentials
inferred← citeshttps://doi.org/10.1016/j.jmaa.2023.127117openalex-snapshot
RETRACTED: Necessary optimality conditions of an optimization problem governed by a double phase PDE
inferred← citeshttps://doi.org/10.1051/cocv/2020060openalex-snapshot
Multiobjective optimal control of a non-smooth semilinear elliptic partial differential equation
inferred← citeshttps://doi.org/10.1051/ro:2004023openalex-snapshot
On constraint qualifications in directionally differentiable multiobjective optimization problems
inferred← citeshttps://doi.org/10.1080/01630563.2019.1667826openalex-snapshot
Karush-Kuhn-Tucker Optimality Conditions and Duality for Multiobjective Semi-Infinite Programming Via Tangential Subdifferentials
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Existence of Lagrange Multipliers under Gâteaux Differentiable Data with Applications to Stochastic Optimal Control Problems
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Proximal point algorithm for differentiable quasi-convex multiobjective optimization
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Metric regularity under Gâteaux differentiability with applications to optimization and stochastic optimal control problems
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