• Title of article

    Hybrid implicit steepest-descent methods for triple hierarchical variational inequalities with hierarchical variational inequality constraints

  • Author/Authors

    Ceng ، Lu-Chuan - Shanghai Normal University , Liou ، Yeong-Cheng - Kaohsiung Medical University , Wen ، Ching-Feng - Kaohsiung Medical University , Lo ، Ching-Hua - Yango University

  • Pages
    25
  • From page
    3963
  • To page
    3987
  • Abstract
    In this paper, we introduce and analyze a hybrid implicit steepest-descent algorithm for solving the triple hierarchical variational inequality problem with the hierarchical variational inequality constraint for finitely many nonexpansive mappings in a real Hilbert space. The proposed algorithm is based on Korpelevich’s extragradient method, hybrid steepest-descent method, Mann’s implicit iteration method, and Halpern’s iteration method. Under mild conditions, the strong convergence of the iteration sequences generated by the algorithm is established. Our results improve and extend the corresponding results in the earlier and recent literature.
  • Keywords
    Hybrid implicit steepest , descent algorithm , triple hierarchical variational inequality , Mann’s implicit iteration method , nonexpansive mapping , inverse , strong monotonicity , global convergence
  • Journal title
    Journal of Nonlinear Science and Applications
  • Serial Year
    2017
  • Journal title
    Journal of Nonlinear Science and Applications
  • Record number

    2476705