Abstract
Recently, optimization problems involving locally Lipschitz nonsmooth functions have gained more scientific interest. Pursuing this perspective, a method known as Gradient Sampling (GS) was developed for the solution of such unconstrained problems. Further, using the same concepts, a new sampling method was elaborated for the solution of constrained nonsmooth optimization problems, using …