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On variational principles, level sets, well-posedness, and ∈-solutions in vector optimization

https://doi.org/10.1007/bf02192533

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What this work says

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

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Functional Analysis and Approximation

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Theory of Vector Optimization

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?-solutions in vector minimization problems

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Nonconvex separation theorems and some applications in vector optimization

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Continuous dependence of solutions on a parameter in a scalarization method

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On several concepts for ɛ-efficiency

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A general maximality principle and a fixed point theorem in uniform space

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The drop theorem, the petal theorem and Ekeland's variational principle

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A nonconvex vector minimization problem

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A generalization of ekellandz’s variational principle

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Nonconvex minimization problems

What points at this work

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

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Theory of Vector Optimization

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Nonlinear Multiobjective Programming

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Variational Inequalities in Vector Optimization

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Convergence of Approximate Solutions and Values in Parametric Vector Optimization

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Increasing-along-rays property, vector optimization and well-posedness

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A generic approach to approximate efficiency and applications to vector optimization with set-valued maps

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Scalarization and pointwise well-posedness in vector optimization problems

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Versions of Ekeland’s variational principle involving set perturbations

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Levitin–Polyak well-posedness for constrained quasiconvex vector optimization problems

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Scalarization and pointwise well-posedness for set optimization problems

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Extended B-Well-Posedness and Property (H) for Set-Valued Vector Optimization with Convexity

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General Ekeland's Variational Principle for Set-Valued Mappings

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Pointwise Well-Posedness of Perturbed Vector Optimization Problems in a Vector-Valued Variational Principle

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Coercivity properties and well-posedness in vector optimization

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A New Variant of Ekeland's Variational Principle for Set-Valued Maps

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OPTIMALITY CONDITIONS AND APPROXIMATE OPTIMALITY CONDITIONS IN LOCALLY LIPSCHITZ VECTOR OPTIMIZATION

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Scalarization of Levitin–Polyak well-posed set optimization problems

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Equilibrium versions of variational principles in quasi-metric spaces and the robust trap problem

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