Error bounds and parameter choice strategies for simplified regularization in Hilbert scales

Abstract Simplified regularization in the setting of Hilbert scales has been considered for obtaining stable approximate solutions for ill-posed operator equations. The derived error estimates using an a posteriori as well as an a priori parameter choice strategy are shown to be of optimal order wit...
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Autor*in:	George, Santhosh [verfasserIn] Thamban nair, M.

Format:	Artikel
Sprache:	Englisch

Erschienen:	1997

Anmerkung:	© Birkhäuser Verlag 1997

Übergeordnetes Werk:	Enthalten in: Integral equations and operator theory - Birkhäuser-Verlag, 1978, 29(1997), 2 vom: Juni, Seite 231-242
Übergeordnetes Werk:	volume:29 ; year:1997 ; number:2 ; month:06 ; pages:231-242

Links:	Volltext

DOI / URN:	10.1007/BF01191432

Katalog-ID:	OLC2069386546

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title_auth	Error bounds and parameter choice strategies for simplified regularization in Hilbert scales
abstract	Abstract Simplified regularization in the setting of Hilbert scales has been considered for obtaining stable approximate solutions for ill-posed operator equations. The derived error estimates using an a posteriori as well as an a priori parameter choice strategy are shown to be of optimal order with respect to certain natural assumptions on the ill-posedness of the equation. © Birkhäuser Verlag 1997
abstractGer	Abstract Simplified regularization in the setting of Hilbert scales has been considered for obtaining stable approximate solutions for ill-posed operator equations. The derived error estimates using an a posteriori as well as an a priori parameter choice strategy are shown to be of optimal order with respect to certain natural assumptions on the ill-posedness of the equation. © Birkhäuser Verlag 1997
abstract_unstemmed	Abstract Simplified regularization in the setting of Hilbert scales has been considered for obtaining stable approximate solutions for ill-posed operator equations. The derived error estimates using an a posteriori as well as an a priori parameter choice strategy are shown to be of optimal order with respect to certain natural assumptions on the ill-posedness of the equation. © Birkhäuser Verlag 1997
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url	https://doi.org/10.1007/BF01191432
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author2	Thamban nair, M.
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doi_str	10.1007/BF01191432
up_date	2024-07-03T22:01:11.656Z
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Error bounds and parameter choice strategies for simplified regularization in Hilbert scales

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