Double Inertial Proximal Gradient Algorithms for Convex Optimization Problems and Applications

In this paper, we propose double inertial forward-backward algorithms for solving unconstrained minimization problems and projected double inertial forward-backward algorithms for solving constrained minimization problems. We then prove convergence theorems under mild conditions. Finally, we provide...

Full description

Bibliographic Details

Published in:	Acta mathematica scientia Vol. 43; no. 3; pp. 1462 - 1476
Main Authors:	Kankam, Kunrada, Cholamjiak, Prasit
Format:	Journal Article
Language:	English
Published:	Singapore Springer Nature Singapore 01.05.2023 Springer Nature B.V School of Science,University of Phayao,Phayao 56000,Thailand
Edition:	English Ed.
Subjects:	Algorithms Analysis Convex analysis Mathematics Mathematics and Statistics Optimization 65K05 90C30 forward-backward algorithm convex minimization 90C25 inertial technique weak convergence
ISSN:	0252-9602, 1572-9087
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!