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Solving a Class of Variational Inequality Problems with a New Inexact Strategy

Authors :
Xiaomei Dong
Zhili Ge
Deren Han
Xingju Cai
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.

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