Auxiliary principle technique for solving regularized nonconvex mixed equilibrium problems

Qamrul Hasan Ansari, Javad Balooee*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

In this paper, we introduce a regularized nonconvex mixed equilibrium problem and suggest iterative algorithms for solving such a problem by using the auxiliary principle technique. The convergence analysis of the proposed iterative algorithms is discussed either under pseudomonotonicity or partially mixed relaxed and strong monotonicity of type (I) property of the bifunctions involved in the formulation. We also point out some fatal errors in [M.A. Noor et al.: On non-convex bifunction variational inequalities. Optim. Lett. 6, 1477-1488 (2012)] and [M.A. Noor et al.: Some iterative methods for solving nonconvex bifunction equilibrium variational inequalities. J. Appl. Math. Volume 2012, Article ID 280451]. Finally, we present the correct version of the results presented in these references.

Original languageEnglish
Pages (from-to)431-450
Number of pages20
JournalFixed Point Theory
Volume20
Issue number2
DOIs
StatePublished - 2019

Bibliographical note

Publisher Copyright:
© 2019, House of the Book of Science. All rights reserved.

Keywords

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

ASJC Scopus subject areas

  • Analysis
  • Computational Mathematics
  • Applied Mathematics

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