A fast computational Gauss–Seidel type iPALM algorithm using an incremental aggregated gradient strategy for weakly convex composite optimization problems with application in image processing

In this paper, we propose a Gauss–Seidel type inertial proximal alternating linearized minimization method with incremental aggregated gradient (IAG-GiPALM) for solving a class of nonconvex and nonsmooth composite optimization problems, whose objective function is the sum of a finite number of smoot...

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Vydáno v:	Journal of computational and applied mathematics Ročník 474; s. 116973
Hlavní autoři:	Jia, Zehui, Hou, Junru, Dong, Ping, Liu, Zhiyu
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.03.2026
Témata:	Incremental aggregated proximal method Kurdyka-Łojasiewicz property Nonconvex optimization Proximal alternating linearized minimization Proximal alternating linearized minimization Nonconvex optimization Kurdyka-Łojasiewicz property Incremental aggregated proximal method
ISSN:	0377-0427
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