INERTIAL PROXIMAL POINT REGULARIZATION ALGORITHM FOR UNCONSTRAINED VECTOR CONVEX OPTIMIZATION PROBLEMS

摘要

The purpose of this paper is to investigate an iterative regularization method of proximal pointtype for solving ill posed vector convex optimization problems in Hilbert spaces. Applications tothe convex feasibility problems and the problem of common fixed points for nonexpansive po-tential mappings are also given.