Enviar artigo por via de e-mail Improved Accuracy Estimation of the Tikhonov Method for Ill-Posed Optimization Problems in Hilbert Space
- Autores: Kokurin M.M.1
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Afiliações:
- Mari State University
- Edição: Volume 63, Nº 4 (2023)
- Páginas: 548-556
- Seção: General numerical methods
- URL: https://vietnamjournal.ru/0044-4669/article/view/664862
- DOI: https://doi.org/10.31857/S0044466923040117
- EDN: https://elibrary.ru/IPHNWS
- ID: 664862
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Resumo
The Tikhonov method is studied as applied to ill-posed problems of minimizing a smooth nonconvex functional. Assuming that the sought solution satisfies the source condition, an accuracy estimate for the Tikhonov method is obtained in terms of the regularization parameter. Previously, such an estimate was obtained only under the assumption that the functional is convex or under a structural condition imposed on its nonlinearity. Additionally, a new accuracy estimate for the Tikhonov method is obtained in the case of an approximately specified functional.
Sobre autores
M. Kokurin
Mari State University
Autor responsável pela correspondência
Email: comp_mat@ccas.ru
424000, Yoshkar-Ola, Russia
Bibliografia
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