• 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). Turn MathJax on 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