Author | Bnouhachem, Abdellah |
Author | Hamdi, Abdelouahed |
Author | Xu, M. H. |
Available date | 2021-04-01T12:34:18Z |
Publication Date | 2016 |
Publication Name | Optimization |
Resource | Scopus |
URI | http://dx.doi.org/10.1080/02331934.2016.1244534 |
URI | http://hdl.handle.net/10576/18087 |
Abstract | We presented a new logarithmic-quadratic proximal alternating direction scheme for the separable constrained convex programming problem. The predictor is obtained by solving series of related systems of non-linear equations in a parallel wise. The new iterate is obtained by searching the optimal step size along a new descent direction. The new direction is obtained by the linear combination of two descent directions. Global convergence of the proposed method is proved under certain assumptions. We show the O(1�/�t) convergence rate for the parallel LQP alternating direction method. |
Language | en |
Publisher | Taylor and Francis Ltd. |
Subject | alternating direction method; convergence rate; logarithmic-quadratic proximal method; monotone operator; projection method; Variational inequalities
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Title | A new LQP alternating direction method for solving variational inequality problems with separable structure |
Type | Article |
Pagination | 2251-2267 |
Issue Number | 12 |
Volume Number | 65 |
dc.accessType
| Abstract Only |