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Stability in Mathematical Programming with Nondifferentiable Data

https://doi.org/10.1137/0322017

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What this work says

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

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Perturbation theory for abstract optimization problems

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Refinements of necessary optimality conditions in nondifferentiable programming I

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Exact penalty functions in nonlinear programming

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First and second order conditions for a class of nondifferentiable optimization problems

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Differentiable stability in non convex and non differentiable programming

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Lagrange multipliers and subderivatives of optimal value functions in nonlinear programming

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Calculus of Variations and Optimal Control Theory

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Regular Points of Lipschitz Functions

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Necessary and Sufficient Conditions for a Local Minimum. 1: A Reduction Theorem and First Order Conditions

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Second-Order Sufficiency Conditions for Nondifferentiable Programming Problems

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Stability Theory for Systems of Inequalities, Part II: Differentiable Nonlinear Systems

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A New Approach to Lagrange Multipliers

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On Generalized Minty and Stampacchia Vector Variational-Like Inequalities and Nonsmooth Vector Optimization Problem Involving Higher Order Strong Invexity

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Two approaches toward constrained vector optimization and identity of the solutions

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A sufficient optimality condition for nonregular problems via a nonlinear Lagrangian

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Метрическая регулярность и субдифференциальное исчисление

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Potentialities of Nonsmooth Optimization

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Second order optimality conditions for strong local minimizers via subgradient graphical derivative

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A New Approach for the Generalized First Derivative and Extension It to the Generalized Second Derivative of Nonsmooth Functions

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On the Variational Behaviour of the Subhessians of the Lasry-Lions Envelope

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On the Stability of the Optimal Value and the Optimal Set in Optimization Problems

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