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arXiv · 1904.10478

New Duality Results for Evenly Convex Optimization Problems

Maria Dolores Fajardo·Sorin-Mihai Grad·Jose Vidal
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Abstract

We present new results on optimization problems where the involved functions are evenly convex. By means of a generalized conjugation scheme and the perturbation theory introduced by Rockafellar, we propose an alternative dual problem for a general optimization one defined on a separated locally convex topological space. Sufficient conditions for converse and total duality involving the even convexity of the perturbation function and $c$-subdifferentials are given. Formulae for the $c$-subdifferential and biconjugate of the objective function of a general optimization problem are provided, too. We also characterize the total duality also by means of the saddle-point theory for a notion of Lagrangian adapted to the considered framework.

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Maria Dolores Fajardo, Sorin-Mihai Grad, Jose Vidal. 2019-04-23. New Duality Results for Evenly Convex Optimization Problems. https://doi.org/10.1080/02331934.2020.1756287

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