Predictor-corrector methods for general mixed quasi variational inequalities

Muhammad Aslam Noor, Khalida Inayat Noor, Kamel Al-Khaled

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

In this paper, we use the auxiliary principle technique to suggest a class of predictor-corrector methods for solving general mixed quasi variational inequalities. The convergence of the proposed methods only requires the partially relaxed strongly monotonicity of the operator, which is weaker than co-coercivity. As special cases, we obtain various known and new results for solving various classes of variational inequalities and related problems.

Original languageEnglish
Pages (from-to)643-652
Number of pages10
JournalApplied Mathematics and Computation
Volume157
Issue number3
DOIs
Publication statusPublished - Oct 15 2004

Keywords

  • Auxiliary principle
  • Convergence
  • Fixed points
  • Iterative methods
  • Variational inequalities

ASJC Scopus subject areas

  • Applied Mathematics
  • Computational Mathematics
  • Numerical Analysis

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