An accelerated inexact Newton-type regularizing algorithm for ill-posed operator equations

We propose and analyze a new iterative regularization approach, called IN-SETPG, for efficiently solving nonlinear ill-posed operator equations in the Hilbert-space setting. IN-SETPG consists of an outer iteration and an inner iteration. The outer iteration is terminated by the discrepancy principle...

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Vydané v:	Journal of computational and applied mathematics Ročník 451; s. 116052
Hlavní autori:	Long, Haie, Zhang, Ye, Gao, Guangyu
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.12.2024
Predmet:	Inexact Newton regularization Iterative regularization Nonlinear inverse problems Sequential subspace optimization Two-point gradient method Nonlinear inverse problems Inexact Newton regularization Two-point gradient method Iterative regularization Sequential subspace optimization
ISSN:	0377-0427
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