New inertial forward–backward algorithm for convex minimization with applications

In this work, we present a new proximal gradient algorithm based on Tseng’s extragradient method and an inertial technique to solve the convex minimization problem in real Hilbert spaces. Using the stepsize rules, the selection of the Lipschitz constant of the gradient of functions is avoided. We th...

Full description

Saved in:
Bibliographic Details
Published in:Demonstratio mathematica Vol. 56; no. 1; pp. 1168 - 1200
Main Authors: Kankam, Kunrada, Cholamjiak, Watcharaporn, Cholamjiak, Prasit
Format: Journal Article
Language:English
Published: De Gruyter 15.02.2023
Subjects:
ISSN:2391-4661, 2391-4661
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Be the first to leave a comment!
You must be logged in first