An inexact hybrid projection-proximal point algorithm for solving generalized mixed variational inequalities |
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Authors: | Fu-quan Xia Nan-jing Huang |
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Affiliation: | a Department of Mathematics, Sichuan Normal University, Chengdu, Sichuan 610066, PR Chinab Department of Mathematics, Sichuan University, Chengdu, Sichuan 610064, PR China |
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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. |
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Keywords: | Mixed variational inequality Inexact hybrid projection-proximal point algorithm Pseudo-monotonicity δk-subgradient |
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