On General Mixed Quasivariational Inequalities
M. A. Noor and
K. I. Noor
Additional contact information
M. A. Noor: Etisalat College of Engineering
K. I. Noor: United Arab Emirates University
Journal of Optimization Theory and Applications, 2004, vol. 120, issue 3, No 6, 579-599
Abstract:
Abstract In this paper, we suggest and analyze several iterative methods for solving general mixed quasivariational inequalities by using the technique of updating the solution and the auxiliary principle. It is shown that the convergence of these methods requires either the pseudomonotonicity or the partially relaxed strong monotonicity of the operator. Proofs of convergence is very simple. Our new methods differ from the existing methods for solving various classes of variational inequalities and related optimization problems. Various special cases are also discussed.
Keywords: Mixed quasivariational inequalities; fixed-point methods; iterative methods; auxiliary principle; convergence analysis (search for similar items in EconPapers)
Date: 2004
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://link.springer.com/10.1023/B:JOTA.0000025711.33422.fc Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:joptap:v:120:y:2004:i:3:d:10.1023_b:jota.0000025711.33422.fc
Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10957/PS2
DOI: 10.1023/B:JOTA.0000025711.33422.fc
Access Statistics for this article
Journal of Optimization Theory and Applications is currently edited by Franco Giannessi and David G. Hull
More articles in Journal of Optimization Theory and Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().