On General Mixed Quasivariational Inequalities

被引:0
|
作者
M. A. Noor
K. I. Noor
机构
[1] Etisalat College of Engineering,Department of Mathematics and Computer Science
[2] United Arab Emirates University,undefined
来源
Journal of Optimization Theory and Applications | 2004年 / 120卷
关键词
Mixed quasivariational inequalities; fixed-point methods; iterative methods; auxiliary principle; convergence analysis;
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摘要
In this paper, we suggest and analyze several iterative methods for solving general mixed quasivariational inequalities by using the technique of updating the solution and the auxiliary principle. It is shown that the convergence of these methods requires either the pseudomonotonicity or the partially relaxed strong monotonicity of the operator. Proofs of convergence is very simple. Our new methods differ from the existing methods for solving various classes of variational inequalities and related optimization problems. Various special cases are also discussed.
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页码:579 / 599
页数:20
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