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SIAM Journal on Matrix Analysis and Applications
Article . 2011 . Peer-reviewed
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https://dx.doi.org/10.48550/ar...
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A Contribution to the Conditioning of the Total Least-Squares Problem

Authors: Baboulin, Marc; Gratton, Serge;

A Contribution to the Conditioning of the Total Least-Squares Problem

Abstract

We derive closed formulas for the condition number of a linear function of the total least squares solution. Given an over determined linear system Ax=b, we show that this condition number can be computed using the singular values and the right singular vectors of [A,b] and A. We also provide an upper bound that requires the computation of the largest and the smallest singular value of [A,b] and the smallest singular value of A. In numerical examples, we compare these values and the resulting forward error bounds with existing error estimates.

Country
Portugal
Keywords

Numerical Analysis, Total least squares, Errors in-variables model, Normwise perturbations, FOS: Mathematics, [MATH] Mathematics [math], Numerical Analysis (math.NA), Condition number

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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!
32
Top 10%
Top 10%
Top 10%
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bronze