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Numerical Linear Algebra with Applications
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Numerical Linear Algebra with Applications
Article . 2016 . Peer-reviewed
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GCV for Tikhonov regularization via global Golub–Kahan decomposition

GCV for Tikhonov regularization via global Golub-Kahan decomposition.
Authors: FENU, CATERINA; Reichel, L; RODRIGUEZ, GIUSEPPE;

GCV for Tikhonov regularization via global Golub–Kahan decomposition

Abstract

SummaryGeneralized cross validation is a popular approach to determining the regularization parameter in Tikhonov regularization. The regularization parameter is chosen by minimizing an expression, which is easy to evaluate for small‐scale problems, but prohibitively expensive to compute for large‐scale ones. This paper describes a novel method, based on Gauss‐type quadrature, for determining upper and lower bounds for the desired expression. These bounds are used to determine the regularization parameter for large‐scale problems. Computed examples illustrate the performance of the proposed method and demonstrate its competitiveness. Copyright © 2016 John Wiley & Sons, Ltd.

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Italy
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Keywords

global Golub-Kahan decomposition, Numerical solutions to overdetermined systems, pseudoinverses, Gauss quadrature rule, Generalized cross validation; Tikhonov regularization; Parameter estimation; Global Golub–Kahan decomposition, Tikhonov regularization, singular value decomposition, large-scale least-squares problems, Numerical quadrature and cubature formulas, generalized cross validation, Ill-posedness and regularization problems in numerical linear algebra, standard Golub-Kahan bidiagonalization, Gauss-Radau quadrature rule, numerical experiments

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
42
Top 10%
Top 10%
Top 10%
hybrid