Title of article
Regularized algorithms for hierarchical fixed-point problems Original Research Article
Author/Authors
Yonghong Yao، نويسنده , , Rudong Chen، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2011
Pages
9
From page
6826
To page
6834
Abstract
Let CC be a nonempty closed convex subset of a real Hilbert space HH. Let S:C→CS:C→C be a non-expansive mapping and View the MathML source{Ti}i=1∞:C→C be an infinite family of non-expansive mappings. The purpose of this paper is to find the minimum norm solution of the following general hierarchical fixed point problem
View the MathML sourceFind x̃∈⋂n=1∞Fix(Tn) such that 〈x̃−Sx̃,x̃−x〉≤0,∀x∈⋂n=1∞Fix(Tn).
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We introduce an explicit regularized algorithm with strong convergence for finding the minimum norm solution of the above hierarchical fixed point problem.
Keywords
Hierarchical fixed point , Regularized algorithm , Variational inequality , Strong convergence
Journal title
Nonlinear Analysis Theory, Methods & Applications
Serial Year
2011
Journal title
Nonlinear Analysis Theory, Methods & Applications
Record number
863446
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