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

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

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Nonlinear Programming

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Topological Vector Spaces

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

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On optimality conditions in nondifferentiable programming

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A class of programming problems whose objective function contains a norm

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Generalized Gradients and Applications

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Numerical Solution of Systems of Nonlinear Equations

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Convex Analysis

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Mathematical Analysis.

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Topological Vector Spaces.

What points at this work

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Bibliography

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References

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Semiparametric proper efficiency conditions and duality models for a class of constrained multiobjective fractional variational problems containing arbitrary norms

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Solving (most) of a set of quadratic equalities: composite optimization for robust phase retrieval

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Roger Fletcher. 29 January 1939—15 July 2016

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Stochastic Methods for Composite and Weakly Convex Optimization Problems

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Support recovery without incoherence: A case for nonconvex regularization

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Data mining for assessing the credit risk of local government units in Croatia

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