A self-adaptive projection and contraction method for monotone symmetric linear variational inequalities

Lizhi LIAO*, Shengli Wang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

In this paper, we present a self-adaptive projection and contraction (SAPC) method for solving symmetric linear variational inequalities. Preliminary numerical tests show that the proposed method is efficient and effective and depends only slightly on its initial parameter. The global convergence of the new method is also addressed.

Original languageEnglish
Pages (from-to)41-48
Number of pages8
JournalComputers and Mathematics with Applications
Volume43
Issue number1-2
DOIs
Publication statusPublished - Jan 2002

Scopus Subject Areas

  • Modelling and Simulation
  • Computational Theory and Mathematics
  • Computational Mathematics

User-Defined Keywords

  • Projection and contraction method
  • Self-adaptive rule
  • Symmetric linear variational inequalities

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