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A self-adaptive method for solving general mixed variational inequalities
Authors:Abdellah Bnouhachem
Affiliation:Department of Mathematics, Nanjing University, Nanjing, 210093, PR China
Abstract:The general mixed variational inequality containing a nonlinear term φ is a useful and an important generalization of variational inequalities. The projection method cannot be applied to solve this problem due to the presence of the nonlinear term. To overcome this disadvantage, Noor [M.A. Noor, Pseudomonotone general mixed variational inequalities, Appl. Math. Comput. 141 (2003) 529-540] used the resolvent equations technique to suggest and analyze an iterative method for solving general mixed variational inequalities. In this paper, we present a new self-adaptive iterative method which can be viewed as a refinement and improvement of the method of Noor. Global convergence of the new method is proved under the same assumptions as Noor's method. Some preliminary computational results are given.
Keywords:General mixed variational inequalities   Self-adaptive rules   Resolvent operator
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