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Solving a Class of Variational Inequality Problems with a New Inexact Strategy
- Source :
- Asia-Pacific Journal of Operational Research. 37:1950038
- Publication Year :
- 2020
- Publisher :
- World Scientific Pub Co Pte Lt, 2020.
-
Abstract
- We consider a class of variational inequality problems with linear constraints, where the mapping is unknown and the system is an oracle. The capacitated traffic congestion pricing problem of transportation is such an application, and many classical methods cannot deal with this class of problems. Note that the cost of the observation (observe the exact solution of the subproblem) is very expensive. It is important to get an inexact solution instead of an exact solution, especially when the iteration is far from the solution set. In this paper, we propose a modified inexact prediction–correction method. Under the mild condition that the underlying mapping is strongly monotone, we prove the global convergence. Some numerical examples are presented to illustrate the efficiency of the inexact strategy.
- Subjects :
- Mathematical optimization
Class (set theory)
021103 operations research
Computer science
0211 other engineering and technologies
Ocean Engineering
010103 numerical & computational mathematics
02 engineering and technology
Management Science and Operations Research
01 natural sciences
Oracle
Traffic congestion
Variational inequality
0101 mathematics
Traffic equilibrium
Subjects
Details
- ISSN :
- 17937019 and 02175959
- Volume :
- 37
- Database :
- OpenAIRE
- Journal :
- Asia-Pacific Journal of Operational Research
- Accession number :
- edsair.doi...........d30680e17766a9fbec14abe2b67f7d88
- Full Text :
- https://doi.org/10.1142/s0217595919500386