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...

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Vydané v:	Acta mathematica scientia Ročník 43; číslo 3; s. 1462 - 1476
Hlavní autori:	Kankam, Kunrada, Cholamjiak, Prasit
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Singapore Springer Nature Singapore 01.05.2023 Springer Nature B.V School of Science,University of Phayao,Phayao 56000,Thailand
Vydanie:	English Ed.
Predmet:	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
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