Iterative schemes for solving regularized nonconvex mixed equilibrium problems

Qamrul Hasan Ansari, Javad Balooee, Kadri Dogan

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

This paper introduces a new class of equilibrium problems called regularized nonconvex mixed equilibrium problems involving two nonlinear bifunctions. By using the auxiliary principle technique, some iterative algorithms for solving them are proposed and analyzed. The study of convergence analysis of the proposed iterative algorithms requires only either joint pseudomonotonicity or partially mixed relaxed and strong monotonicity of the bifunctions involved in the considered problem. As a consequence of our main results, we provide the correct versions of the algorithms and results presented in the literature.

Original languageEnglish
Pages (from-to)607-622
Number of pages16
JournalJournal of Nonlinear and Convex Analysis
Volume18
Issue number4
StatePublished - 2017

Bibliographical note

Publisher Copyright:
© 2017.

Keywords

  • Auxiliary principle technique
  • Convergence analysis
  • Nonconvex equilibrium problems
  • Nonconvex sets
  • Predictor-corrector methods
  • Prox-regularity
  • Regularized mixed equilibrium problems

ASJC Scopus subject areas

  • Analysis
  • Geometry and Topology
  • Control and Optimization
  • Applied Mathematics

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