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Solving Mixed Variational Inequalities Beyond Convexity

  • C/o Faculty of Mathematics of the University of Vienna
  • Departamento de Matemática
  • Universidad de Tarapacá

Research output: Contribution to journalArticlepeer-review

38 Citations (Scopus)

Abstract

We show that Malitsky’s recent Golden Ratio Algorithm for solving convex mixed variational inequalities can be employed in a certain nonconvex framework as well, making it probably the first iterative method in the literature for solving generalized convex mixed variational inequalities, and illustrate this result by numerical experiments.

Original languageEnglish
Pages (from-to)565-580
Number of pages16
JournalJournal of Optimization Theory and Applications
Volume190
Issue number2
DOIs
Publication statusPublished - 1 Aug 2021
Externally publishedYes

Keywords

  • Golden Ratio Algorithms
  • Proximal point algorithms
  • Quasiconvex functions
  • Variational inequalities

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