A new self-adaptive iterative method for general mixed quasi variational inequalities

被引:0
|
作者
Bnouhachem, Abdellah [1 ]
Khalfaoui, Mohamed [2 ]
Benazza, Hafida [2 ]
机构
[1] Nanjing Univ, Sch Management Sci & Engn, Nanjing 210093, Peoples R China
[2] Mohamed 5 Univ Sci, Ecole Super Technol Sale, Rabat, Morocco
基金
中国国家自然科学基金;
关键词
general mixed quasi variational inequalities; self-adaptive rules; resolvent operator;
D O I
10.1016/S0252-9602(08)60070-3
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
The general mixed quasi variational inequality containing a nonlinear term phi is a useful and an important generalization of variational inequalities. The projection method can not be applied to solve this problem due to the presence of nonlinear term. It is well known that the variational inequalities involving the nonlinear term phi are equivalent to the fixed point problems and resolvent equations. In this article, the authors use these alternative equivalent formulations to suggest and analyze a new self-adaptive iterative method for solving general mixed quasi variational inequalities. Global convergence of the new method is proved. An example is given to illustrate the efficiency of the proposed method.
引用
收藏
页码:685 / 696
页数:12
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