Regularization of ill-posed problems: Optimal parameter choice in finite dimensions
type: Item
instance of: scholarly article
title: Regularization of ill-posed problems: Optimal parameter choice in finite dimensions
zbMATH Open document ID: 0676.65052
DOI: 10.1016/0021-9045(89)90019-1
published in: Journal of Approximation Theory
publication date: 1989-01-01T00:00:00Z
Mathematics Subject Classification ID: 65J10
Mathematics Subject Classification ID: 47A50
zbMATH DE Number: 4108041
zbMATH Keywords: ill-posed problems
zbMATH Keywords: Hilbert space
zbMATH Keywords: regularization methods
zbMATH Keywords: ill-posed linear operator equations
zbMATH Keywords: optimal a posteriori parameter choice strategy
zbMATH Keywords: finite-dimensional approximations
author: Charles W. Groetsch
author: Andreas Neubauer
MaRDI profile type: Publication
full work available at URL: 0021-9045(89)90019-1
OpenAlex ID: W2031196669
cites work: Q3660796
cites work: A posteriori parameter choice for general regularization methods for solving linear ill-posed problems
cites work: Q3824887
cites work: An A Posteriori Parameter Choice for Ordinary and Iterated Tikhonov Regularization of Ill-Posed Problems Leading to Optimal Convergence Rates
cites work: Q3334886
cites work: A variant of finite-dimensional Tikhonov regularization with a-posteriori parameter choice
cites work: An a posteriori parameter choice for Tikhonov regularization in the presence of modeling error
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description: scientific article; zbMATH DE number 4108041