Iterative algorithms with regularization for hierarchical variational inequality problems and convex minimization problems

被引:5
|
作者
Ceng, Lu-Chuan [1 ,2 ]
Al-Homidan, Suliman [3 ]
Ansari, Qamrul Hasan [4 ]
机构
[1] Shanghai Normal Univ, Dept Math, Shanghai 200234, Peoples R China
[2] Sci Comp Key Lab Shanghai Univ, Shanghai 200234, Peoples R China
[3] King Fahd Univ Petr & Minerals, Dept Math & Stat, Dhahran 31261, Saudi Arabia
[4] Aligarh Muslim Univ, Dept Math, Aligarh, Uttar Pradesh, India
基金
美国国家科学基金会;
关键词
Hierarchical Variational Inequality Problem; Strict Pseudocontractive Mappings; Firmly Nonexpansive; Nonempty Closed Convex Subset; Three-step Iterative Algorithm;
D O I
10.1186/1687-1812-2013-284
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, we consider a variational inequality problem which is defined over the set of intersections of the set of fixed points of a zeta-strictly pseudocontractive mapping, the set of fixed points of a nonexpansive mapping and the set of solutions of a minimization problem. We propose an iterative algorithm with regularization to solve such a variational inequality problem and study the strong convergence of the sequence generated by the proposed algorithm. The results of this paper improve and extend several known results in the literature.
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页数:24
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