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Sponsored by the Center for Science and Technology Development of the Ministry of Education
Supervised by Ministry of Education of the People's Republic of China
This paper is mainly considered the algorithms of generalized mixed quasi-variational inequality,where the algorithms is based on the projection methods. We presents a stable- proximal iterative algorithm for general mixed variational inequalities which has a set-valued mapping for finding the common element, by finding fixed point of nonexpansion mappings and the set of solutions of generalized mixed variational inequalities. Moreover, we also discuss the convergence criteria.
Keywords: set-valued mappings;stable- proximal iterative algorithms; general mixed variational inequalities.