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

Fingerprint

Predictor-corrector Methods
Quasi-variational Inequalities
Coercive force
Auxiliary Principle Technique
Coercivity
Variational Inequalities
Monotonicity
Operator
Class

Keywords

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

ASJC Scopus subject areas

  • Applied Mathematics
  • Computational Mathematics
  • Numerical Analysis

Cite this

Predictor-corrector methods for general mixed quasi variational inequalities. / Aslam Noor, Muhammad; Inayat Noor, Khalida; Al-Khaled, Kamel.

In: Applied Mathematics and Computation, Vol. 157, No. 3, 15.10.2004, p. 643-652.

Research output: Contribution to journalArticle

Aslam Noor, Muhammad ; Inayat Noor, Khalida ; Al-Khaled, Kamel. / Predictor-corrector methods for general mixed quasi variational inequalities. In: Applied Mathematics and Computation. 2004 ; Vol. 157, No. 3. pp. 643-652.
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