Proximal point algorithms for general variational inequalities

M. Li, L. Z. Liao, X. M. Yuan

Research output: Contribution to journalJournal articlepeer-review

10 Citations (Scopus)
24 Downloads (Pure)


This paper presents a unified framework of proximal point algorithms (PPAs) for solving general variational inequalities (GVIs). Some existing PPAs for classical variational inequalities, including both the exact and inexact versions, are extended to solving GVIs. Consequently, several new PPA-based algorithms are proposed.

Original languageEnglish
Pages (from-to)125-145
Number of pages21
JournalJournal of Optimization Theory and Applications
Issue number1
Publication statusPublished - Jul 2009

Scopus Subject Areas

  • Control and Optimization
  • Management Science and Operations Research
  • Applied Mathematics

User-Defined Keywords

  • General variational inequality
  • Inexact versions
  • Proximal point algorithms


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