Generalized nonlinear mixed quasi-variational inequalities

被引:48
|
作者
Huang, NJ [1 ]
Bai, MR
Cho, YE
Kang, SM
机构
[1] Sichuan Univ, Dept Math, Chengdu 610064, Sichuan, Peoples R China
[2] Hunan Univ, Dept Math Appl, Changsha 410082, Hunan, Peoples R China
[3] Gyeongsang Natl Univ, Dept Math, Jinju 660701, South Korea
关键词
mixed quasi-variational inequality; set-valued mapping; iterative algorithm; perturbed algorithm; stability;
D O I
10.1016/S0898-1221(00)00154-1
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, we introduce and study a new class of quasi-variational inequalities, which is called the generalized nonlinear set-valued mixed quasi-variational inequality. Using the resolvent operator technique for maximal monotone mapping, we construct some new iterative algorithms for solving this class of generalized nonlinear set-valued mixed quasi-variational inequalities. We prove the existence of solution for this kind of generalized nonlinear set-valued mixed quasivariational inequalities without compactness and the convergence of iterative sequences generated by the algorithms. We also discuss the convergence and stability of perturbed iterative algorithm for solving a class of generalized nonlinear mixed quasi-variational inequalities. (C) 2000 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:205 / 215
页数:11
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