An Inertial Proximal-Gradient Penalization Scheme for Constrained Convex Optimization Problems

We propose a proximal-gradient algorithm with penalization terms and inertial and memory effects for minimizing the sum of a proper, convex, and lower semicontinuous and a convex differentiable function subject to the set of minimizers of another convex differentiable function. We show that, under s...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Vietnam journal of mathematics Jg. 46; H. 1; S. 53 - 71
Hauptverfasser:	Boţ, Radu Ioan, Csetnek, Ernö Robert, Nimana, Nimit
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Singapore Springer Singapore 01.03.2018 Springer Nature B.V
Schlagworte:	Computational geometry Convergence Convexity Mathematical programming Mathematics Mathematics and Statistics Optimization 65K05 Penalization 90C25 Fenchel conjugate 47H05 Proximal-gradient algorithm Inertial algorithm
ISSN:	2305-221X, 2305-2228, 2305-2228
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!