
A Bregman inexact linesearch–based forward–backward algorithm for nonsmooth nonconvex optimization
Author(s) -
Simone Rebegoldi,
Silvia Bonettini,
Marco Prato
Publication year - 2018
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1131/1/012013
Subject(s) - bregman divergence , iterated function , mathematics , convexity , proximal gradient methods , algorithm , gradient descent , limit point , minification , operator (biology) , regular polygon , sequence (biology) , limit (mathematics) , convex function , stationary point , term (time) , function (biology) , point (geometry) , mathematical optimization , computer science , artificial intelligence , mathematical analysis , geometry , physics , repressor , chemistry , financial economics , genetics , biology , biochemistry , quantum mechanics , evolutionary biology , artificial neural network , transcription factor , economics , gene