M. I. A. Ghitri, A. Hantoute
We use smoothing processes based on the infimal convolution of convex, proper and lower semi-continuous functions to regularize optimization problems given by means of non-convex composite functions. We show that the proposed approximations/regularization schemes still (epi-) converge to the original data, even if the chosen kernel is any convex function. This also allows for the derivation of upper estimates of the sub-differentials of the epi-limits of non-convex functions, without the use of qualifications (namely, BCQ-type conditions).
Palabras clave: Infimal convolution ⋅ Epi-convergence ⋅ Convex-composite function ⋅ Subdifferential ⋅ Deconvolution ⋅ Lower semi-continuous.
Programado
GT13.OPTCONT6 Sesión Invitada
7 de noviembre de 2023 11:40
CC1: Auditorio