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SIAM Journal on Scientific and Statistical Computing
Article . 1981 . Peer-reviewed
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Balancing the Generalized Eigenvalue Problem

Balancing the generalized eigenvalue problem
Authors: Ward, Robert C.;

Balancing the Generalized Eigenvalue Problem

Abstract

An algorithm is presented for balancing the A and B matrices prior to computing the eigensystem of the generalized eigenvalue problem $Ax = \lambda Bx$. The three-step algorithm is specifically designed to precede the $QZ$-type algorithms, but improved performance is expected from most eigensystem solvers. Permutations and two-sided diagonal transformations are applied to A and B to produce matrices with certain desirable properties. Test cases are presented to illustrate the improved accuracy of the computed eigenvalues.

Keywords

Numerical computation of eigenvalues and eigenvectors of matrices, diagonal transformation, generalized eigenvalue, Numerical computation of matrix norms, conditioning, scaling, scaling, balancing, QZ algorithm, graded matrix

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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!
41
Top 10%
Top 10%
Average
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