On the Iteration Complexity of Some Projection Methods for Monotone Linear Variational Inequalities
Caihua Chen (),
Xiaoling Fu (),
Bingsheng He () and
Xiaoming Yuan ()
Additional contact information
Caihua Chen: Nanjing University
Xiaoling Fu: Southeast University
Bingsheng He: South University of Science and Technology of China
Xiaoming Yuan: Hong Kong Baptist University
Journal of Optimization Theory and Applications, 2017, vol. 172, issue 3, No 9, 914-928
Abstract:
Abstract Projection-type methods are important for solving monotone linear variational inequalities. In this paper, we analyze the iteration complexity of two projection methods and accordingly establish their worst-case sublinear convergence rates measured by the iteration complexity in both the ergodic and nonergodic senses. Our analysis does not require any error bound condition or the boundedness of the feasible set, and it is scalable to other methods of the same kind.
Keywords: Linear variational inequality; Projection methods; Convergence rate; Iteration complexity; 90C33; 90C25; 90C30 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s10957-016-1051-6 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:172:y:2017:i:3:d:10.1007_s10957-016-1051-6
Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10957/PS2
DOI: 10.1007/s10957-016-1051-6
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 ().