Title of article :
A self-adaptive method for solving general mixed variational inequalities
Author/Authors :
Abdellah Bnouhachem، نويسنده ,
Issue Information :
دوهفته نامه با شماره پیاپی سال 2005
Pages :
15
From page :
136
To page :
150
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.  2004 Elsevier Inc. All rights reserved
Keywords :
Self-adaptive rules , General mixed variational inequalities , resolvent operator
Journal title :
Journal of Mathematical Analysis and Applications
Serial Year :
2005
Journal title :
Journal of Mathematical Analysis and Applications
Record number :
934017
Link To Document :
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