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

Authors :
Dong, Xiaomei
Cai, Xingju
Han, Deren
Ge, Zhili
Source :
Asia-Pacific Journal of Operational Research; Feb2020, Vol. 37 Issue 1, pN.PAG-N.PAG, 20p
Publication Year :
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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02175959
Volume :
37
Issue :
1
Database :
Complementary Index
Journal :
Asia-Pacific Journal of Operational Research
Publication Type :
Academic Journal
Accession number :
141825708
Full Text :
https://doi.org/10.1142/S0217595919500386