Interior proximal method for variational inequalities on non-polyhedral sets
Alexander Kaplan, Rainer Tichatschke · Discussiones Mathematicae Differential Inclusions Control and Optimization · 2007
Interior proximal methods for variational inequalities are, in fact, designed to handle problems on polyhedral convex sets or balls, only. Using a slightly modied concept of Bregman functions, we suggest an interior proximal method for solving variational inequalities (with maximal monotone operators) on convex, in general non-polyhedral sets, including in particular the case in which the set is described by a system of linear as well as strictly convex constraints. The convergence analysis of the method studied admits the use of the -enlargement of the operator and an inexact solution of the subproblems.