Generalized nonlinear mixed implicit quasi-variational inclusions with set-valued mappings

被引:55
|
作者
Agarwal, RP
Huang, NJ
Cho, YJ [1 ]
机构
[1] Gyeongsang Natl Univ, Dept Math, Chinju 660701, South Korea
[2] Natl Univ Singapore, Dept Math, Singapore 119260, Singapore
[3] Sichuan Univ, Dept Math, Chengdu 610064, Sichuan, Peoples R China
关键词
mixed implicit quasi-variational inclusion; set-valued mapping; iterative algorithm; perturbed algorithm with errors; stability;
D O I
10.1080/1025583021000022513
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 implicit quasi-variational inclusions, which is called the generalized nonlinear mixed implicit quasi-variational inclusion with set-valued mappings. Using the resolvent operator technique for maximal monotone mapping, we construct some new iterative algorithms for solving this class of generalized nonlinear mixed implicit quasi-variational inclusions with non-compact set-valued mappings. We prove the existence of solution for this kind of generalized nonlinear mixed implicit quasi-variational inclusions with non-compact set-valued mappings and the convergence of iterative sequences generated by the algorithms. We also discuss the convergence and stability of perturbed iterative algorithm with errors for solving a class of generalized nonlinear mixed implicit quasi-variational inclusions with single-valued mappings.
引用
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页码:807 / 828
页数:22
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