| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6421873 | Applied Mathematics and Computation | 2013 | 7 Pages |
Abstract
In this paper, we consider projection method for variational inequality problems. First, we give a new modification of recently proposed self-adaptive step length rules, with possibly minimal parameters. Then, the resulting self-adaptive projection method is proven to converge globally at a R-linear rate provided that the underlying mapping is strongly monotone and Lipschitz continuous. Preliminary numerical results confirm its flexibility and effectiveness.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Yunda Dong, Xue Zhang,