Strong convergence of a modified iterative algorithm for hierarchical fixed point problems and variational inequalities

被引:16
|
作者
Wang, Yuanheng [1 ]
Xu, Wei [2 ]
机构
[1] Zhejiang Normal Univ, Dept Math, Hangzhou 321004, Zhejiang, Peoples R China
[2] Tongji Zhejiang Coll, Dept Math, Hangzhou 314000, Zhejiang, Peoples R China
关键词
hierarchical fixed point; nonexpansive mapping; Lipschitzian and strongly monotone mapping; quadratic minimization; modified iterative projection algorithm; NONEXPANSIVE-MAPPINGS; THEOREMS;
D O I
10.1186/1687-1812-2013-121
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This article aims to deal with a new modified iterative projection method for solving a hierarchical fixed point problem. It is shown that under certain approximate assumptions of the operators and parameters, the modified iterative sequence {x(n)} converges strongly to a fixed point x* of T, also the solution of a variational inequality. As a special case, this projection method solves some quadratic minimization problem. The results here improve and extend some recent corresponding results by other authors.
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页数:9
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