Title
Variable Metric Forward---Backward Algorithm for Minimizing the Sum of a Differentiable Function and a Convex Function
Abstract
We consider the minimization of a function G defined on ${ \mathbb{R} } ^{N}$ , which is the sum of a (not necessarily convex) differentiable function and a (not necessarily differentiable) convex function. Moreover, we assume that G satisfies the Kurdyka--- ojasiewicz property. Such a problem can be solved with the Forward---Backward algorithm. However, the latter algorithm may suffer from slow convergence. We propose an acceleration strategy based on the use of variable metrics and of the Majorize---Minimize principle. We give conditions under which the sequence generated by the resulting Variable Metric Forward---Backward algorithm converges to a critical point of G . Numerical results illustrate the performance of the proposed algorithm in an image reconstruction application.
Year
DOI
Venue
2014
10.1007/s10957-013-0465-7
Journal of Optimization Theory and Applications
Keywords
Field
DocType
proximity operator,nonconvex optimization,image reconstruction,nonsmooth optimization,majorize---minimize algorithms,forward---backward algorithm
Convergence (routing),Iterative reconstruction,Discrete mathematics,Mathematical optimization,Forward–backward algorithm,Mathematical analysis,Regular polygon,Convex function,Differentiable function,Minification,Acceleration,Mathematics
Journal
Volume
Issue
ISSN
162
1
1573-2878
Citations 
PageRank 
References 
46
1.50
19
Authors
3
Name
Order
Citations
PageRank
Emilie Chouzenoux120226.37
Jean-Christophe Pesquet256046.10
Audrey Repetti3766.84