A Perturbed Iterative Algorithm for Split General Mixed Variational Inequality Problem

Lu SHEN, Ya-li ZHAO

Abstract


In this paper, we introduce a split general mixed variational inequality problem, which is a natural extension of a split variational inequality problem, split general quasi-variational inequality problem in Hilbert spaces. Using the resolvent operator technique, we propose a perturbed iterative algorithm for the split general mixed variational inequality problem. Further, we discuss the convergence criteria of the iterative algorithm. The results presented in this paper extend and improve many previously known results in this area.

Keywords


Split general mixed variational inequality problem, Split general quasi-variational inequality problem, Perturbed iterative algorithm, Convergence.


DOI
10.12783/dtetr/icamm2016/7335

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