A recent proximal gradient algorithm for convex minimization problem using double inertial extrapolations

In this study, we suggest a new class of forward-backward (FB) algorithms designed to solve convex minimization problems. Our method incorporates a linesearch technique, eliminating the need to choose Lipschitz assumptions explicitly. Additionally, we apply double inertial extrapolations to enhance...

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Bibliographic Details
Published in:	AIMS mathematics Vol. 9; no. 7; pp. 18841 - 18859
Main Authors:	Kesornprom, Suparat, Inkrong, Papatsara, Witthayarat, Uamporn, Cholamjiak, Prasit
Format:	Journal Article
Language:	English
Published:	AIMS Press 01.01.2024
Subjects:	forward-backward algorithm inertial extrapolation minimization problem weak convergence
ISSN:	2473-6988, 2473-6988
Online Access:	Get full text
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