We deal with duality for almost convex finite
dimensional optimization problems by means of the classical
perturbation approach. To this aim some standard results from the
convex analysis are extended to the case of almost convex sets and
functions. The duality for some classes of primal-dual problems is
derived as a special case of the general approach. The sufficient
regularity conditions we need for guaranteeing strong duality are
proved to be similar to the ones in the convex case.
Keywords:
almost convex sets, almost convex functions,
conjugate functions, duality, perturbation approach