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Convex composite multi-objective nonsmooth programming

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Practical Methods of Optimization
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Multicriteria Optimization in Engineering and in the Sciences
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Applications of Multicriteria Optimization in Approximation Theory
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Multicriteria Optimization Methods for Design of Aircraft Control Systems
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Scalarization in Multi Objective Optimization
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Mathematical Programming and Control Theory
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Multiobjective programming and penalty functions
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Zero duality gaps in infinite-dimensional programming
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Infinite-dimensional convex programming with applications to constrained approximation
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General constraint qualifications in nondifferentiable programming
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Descent methods for composite nondifferentiable optimization problems
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Necessary and sufficient optimality conditions for a class of nonsmooth minimization problems
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Second order necessary and sufficient conditions for convex composite NDO
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Scalarization in vector optimization
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Pseudolinearity and efficiency
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A model algorithm for composite nondifferentiable optimization problems
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Proper efficiency and the theory of vector maximization
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On sufficiency of the Kuhn-Tucker conditions
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A simple characterization of solution sets of convex programs
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Theory of vector optimization
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Practical methods of optimization
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Theory of Multiobjective Optimization
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Generalised convexity and duality in multiple objective programming
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Optimality and Efficiency
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Vector and Parametric Programming
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On optimality conditions in nonsmooth inequality constrained minimization
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Convexlike alternative theorems and mathematical programming
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First- and Second-Order Epi-Differentiability in Nonlinear Programming
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Necessary and Sufficient Conditions for a Local Minimum. 2: Conditions of Levitin–Miljutin–Osmolovskii Type
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Generalized Quasiconvex Mappings and Vector Optimization
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Composite Nonsmooth Programming with Gâteaux Differentiability
inferredcites →https://doi.org/10.1137/1.9781611971309openalex-snapshot
Optimization and Nonsmooth Analysis
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Technical Note—Proper Efficiency and the Linear Fractional Vector Maximum Problem
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Practical Methods of Optimization.
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Nonlinear Programming.

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Composite Nonsmooth Multiobjective Programs with V-ρ-Invexity
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Nonlinear Multiobjective Programming
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Composite Nonsmooth Optimization
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Mutiobjective Programming
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Composite Nonsmooth Optimization
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Continuous Multiobjective Programming
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Composite Nonsmooth Optimization
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Solution Concepts in Vector Optimization – An Overview
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Generalized convex functions and vector variational inequalities
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Second-order global optimality conditions for convex composite optimization
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On characterizing the solution sets of pseudolinear programs
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Convex composite minimization withC 1,1 functions
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Characterization of solution sets of convex optimization problems in Riemannian manifolds
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On the relations between different duals assigned to composed optimization problems
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Optimality and duality for a nonsmooth multiobjective optimization involving generalized type I functions
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Strong KKT conditions and weak sharp solutions in convex-composite optimization
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Convex composite non-Lipschitz programming
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Dual conditions characterizing optimality for convex multi-objective programs
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The Stable Farkas Lemma for composite convex functions in infinite dimensional spaces
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Conjugate duality for multiobjective composed optimization problems
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Optimality conditions and duality in nonsmooth multiobjective optimization problems
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Optimality and duality in nonsmooth composite vector optimization and applications
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Second-Order Global Optimality Conditions for Optimization Problems
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Asymptotic analysis in convex composite multiobjective optimization problems
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Optimality conditions for a class of composite multiobjective nonsmooth optimization problems
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On Characterizing the Solution Sets of Pseudoinvex Extremum Problems
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Boundedness and Nonemptiness of the Efficient Solution Sets in Multiobjective Optimization
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Optimality Conditions and Characterizations of the Solution Sets in Generalized Convex Problems and Variational Inequalities
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Lagrange Multiplier Characterizations of Solution Sets of Constrained Nonsmooth Pseudolinear Optimization Problems
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Optimality Conditions in Quasidifferentiable Vector Optimization
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Affine Variational Inequalities on Normed Spaces
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Higher-order generalized tangent epiderivatives and applications to set-valued optimization
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Sharp Minima for Multiobjective Optimization in Banach Spaces
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A note on characterizing solution set of nonsmooth pseudoinvex optimization problem
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A generalized mean-value theorem and optimality conditions in composite nonsmooth minimization
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Characterization of efficient solutions of multi-objective E-convex programming problems
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Necessary optimality conditions in nondifferentiable vector optimization
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Lagrange multiplier characterizations of solution sets of constrained pseudolinear optimization problems
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Generalized convex composite multi-objective nonsmooth programming and conditional proper efficiency
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