Comparison of parameter choices in regularization algorithms in case of different information about noise level
type: Item
instance of: scholarly article
title: Comparison of parameter choices in regularization algorithms in case of different information about noise level
zbMATH Open document ID: 1216.65063
author: Uno Hämarik
author: Reimo Palm
author: Toomas Raus
published in: Calcolo
publication date: 2011-05-11T00:00:00Z
Mathematics Subject Classification ID: 65J10
Mathematics Subject Classification ID: 65J20
Mathematics Subject Classification ID: 47A52
zbMATH DE Number: 5886908
zbMATH Keywords: ill-posed problem
zbMATH Keywords: noise level
zbMATH Keywords: regularization
zbMATH Keywords: Tikhonov method
zbMATH Keywords: extrapolated Tikhonov method
zbMATH Keywords: Landweber method
zbMATH Keywords: regularization parameter choice
zbMATH Keywords: Hilbert space
zbMATH Keywords: numerical experiments
zbMATH Keywords: discrepancy principle
zbMATH Keywords: quasioptimality criterion
zbMATH Keywords: Hanke-Raus rule
zbMATH Keywords: Brezinski-Rodriguez-Seatzu rule
zbMATH Keywords: numerical comparison
describes a project that uses: ErresTools
describes a project that uses: Regularization tools
MaRDI profile type: Publication
full work available at URL: s10092-010-0027-4
OpenAlex ID: W2012016993
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DOI: 10.1007/S10092-010-0027-4
description: scientific article; zbMATH DE number 5886908