New Alternating Direction Method for a Class of Nonlinear Variational Inequality Problems
D.R. Han and
H.K. Lo
Additional contact information
D.R. Han: Nanjing University
H.K. Lo: Hong Kong University of Science and Technology
Journal of Optimization Theory and Applications, 2002, vol. 112, issue 3, No 5, 549-560
Abstract:
Abstract The alternating direction method is an attractive method for a class of variational inequality problems if the subproblems can be solved efficiently. However, solving the subproblems exactly is expensive even when the subproblem is strongly monotone or linear. To overcome this disadvantage, this paper develops a new alternating direction method for cocoercive nonlinear variational inequality problems. To illustrate the performance of this approach, we implement it for traffic assignment problems with fixed demand and for large-scale spatial price equilibrium problems.
Keywords: Cocoercive variational inequalities; alternating direction methods; traffic assignments; spatial price equilibria (search for similar items in EconPapers)
Date: 2002
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)
Downloads: (external link)
http://link.springer.com/10.1023/A:1017964015910 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:112:y:2002:i:3:d:10.1023_a:1017964015910
Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10957/PS2
DOI: 10.1023/A:1017964015910
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 ().