| dc.creator | Benning, Martin | |
| dc.creator | Knoll, Florian | |
| dc.creator | Schonlieb, Carola-Bibiane | |
| dc.creator | Valkonen, Tuomo | |
| dc.date.accessioned | 2016-05-17 | |
| dc.date.accessioned | 2018-11-24T23:19:04Z | |
| dc.date.available | 2016-07-11T08:20:25Z | |
| dc.date.available | 2018-11-24T23:19:04Z | |
| dc.date.issued | 2016 | |
| dc.identifier | https://www.repository.cam.ac.uk/handle/1810/256685 | |
| dc.identifier.uri | http://repository.aust.edu.ng/xmlui/handle/123456789/3399 | |
| dc.description.abstract | We are presenting a modification of the well-known Alternating Direction Method of Multipliers (ADMM) algorithm with additional preconditioning that aims at solving convex optimisation problems with nonlinear operator constraints. Connections to the recently developed Nonlinear Primal-Dual Hybrid Gradient Method (NL-PDHGM) are presented, and the algorithm is demonstrated to handle the nonlinear inverse problem of parallel Magnetic Resonance Imaging (MRI). | |
| dc.language | en | |
| dc.publisher | Springer | |
| dc.publisher | IFIP Advances in Information and Communication Technology | |
| dc.relation | https://www.repository.cam.ac.uk/handle/1810/256221 | |
| dc.subject | ADMM | |
| dc.subject | primal-dual | |
| dc.subject | nonlinear inverse problems | |
| dc.subject | parallel MRI | |
| dc.subject | proximal point method | |
| dc.subject | operator splitting | |
| dc.subject | iterative Bregman method | |
| dc.title | Preconditioned ADMM with nonlinear operator constraint | |
| dc.type | Article | |
