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An inexact hybrid projection-proximal point algorithm for solving generalized mixed variational inequalities
Authors:Fu-quan Xia  Nan-jing Huang
Affiliation:
  • a Department of Mathematics, Sichuan Normal University, Chengdu, Sichuan 610066, PR China
  • b Department of Mathematics, Sichuan University, Chengdu, Sichuan 610064, PR China
  • Abstract:In this paper, we investigate an inexact hybrid projection-proximal method for solving a class of generalized mixed variational inequalities in Hilbert spaces. We construct a general inexact hybrid projection-proximal point algorithm, in which an inexact relaxed proximal point step is followed by a suitable orthogonal projection onto a hyperplane. Under some suitable conditions concerned with the pseudomonotone set-valued mapping T, the nonsmooth convex function f and the step size λk, we prove the convergence of the inexact hybrid projection-proximal point algorithm for solving generalized mixed variational inequalities in Hilbert spaces.
    Keywords:Mixed variational inequality   Inexact hybrid projection-proximal point algorithm   Pseudo-monotonicity   δk-subgradient
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