Weak Convergence Theorems for Nonexpansive Mappings and Monotone Mappings
W. Takahashi and
M. Toyoda
Additional contact information
W. Takahashi: Tokyo Institute of Technology
M. Toyoda: Tokyo Institute of Technology
Journal of Optimization Theory and Applications, 2003, vol. 118, issue 2, No 10, 417-428
Abstract:
Abstract In this paper, we introduce an iteration process of finding a common element of the set of fixed points of a nonexpansive mapping and the set of solutions of a variational inequality problem for an inverse strongly-monotone mapping, and then obtain a weak convergence theorem. Using this result, we obtain a weak convergence theorem for a pair of a nonexpansive mapping and a strictly pseudocontractive mapping. Further, we consider the problem of finding a common element of the set of fixed points of a nonexpansive mapping and the set of zeros of an inverse strongly-monotone mapping.
Keywords: Nonexpansive mappings; inverse strongly-monotone mappings; variational inequalities; fixed points (search for similar items in EconPapers)
Date: 2003
References: View complete reference list from CitEc
Citations: View citations in EconPapers (31)
Downloads: (external link)
http://link.springer.com/10.1023/A:1025407607560 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:118:y:2003:i:2:d:10.1023_a:1025407607560
Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10957/PS2
DOI: 10.1023/A:1025407607560
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 ().