Repository logo
 

Preconditioned ADMM with nonlinear operator constraint

Accepted version
Peer-reviewed

Type

Conference Object

Change log

Authors

Knoll, F 
Schönlieb, CB 
Valkonen, T 

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).

Description

Keywords

math.NA, math.NA, math.OC

Journal Title

IFIP Advances in Information and Communication Technology

Conference Name

Journal ISSN

1868-4238
1868-422X

Volume Title

494

Publisher

Springer International Publishing
Sponsorship
Engineering and Physical Sciences Research Council (EP/M00483X/1)
Engineering and Physical Sciences Research Council (EP/N014588/1)
Engineering and Physical Sciences Research Council (EP/J009539/1)
Alan Turing Institute (unknown)
European Commission Horizon 2020 (H2020) Marie Sk?odowska-Curie actions (691070)