Interior-point proximal methods for nonsmooth optimization in Hilbert spaces with cone-ordered constraints
We study an inexact interior-point method for nonsmooth, nonconvex optimization problems with conic inequality constraints. The objective function is given by the sum of a smooth, possibly nonconvex term and a convex, possibly nonsmooth term with a computable proximal mapping. The constraints are formulated by means of...