The role of larger bulges in the QR algorithm is controversial. Large bulges are infamous for having a strong, negative influence on the convergence of the implicitly shifted QR algorithm. This paper provides a new explanation of this shift blurring effect, by connecting the computation of the first column of the shift polynomial to the notoriously ill-conditioned pole placement problem. To avoid shift blurring, modern variants of the QR algorithm employ chains of tightly coupled tiny bulges instead of one large bulge. It turns out that larger bulges still play a positive role in these variants; a slight increase of the bulge sizes often results in considerable performance improvements
Rapid convergence of the shifted QR algorithm on symmetric matrices was shown more than fifty years ...
We develop a framework for proving rapid convergence of shifted QR algorithms which use Ritz values ...
Each iteration of the multishift QR algorithm of Bai and Demmel requires the computation of a "...
AbstractThe QR algorithm is one of the most widely used algorithms for calculating the eigenvalues o...
AbstractI reconsider some hypotheses concerning errant behaviors of the m-tuple QP iteration for rea...
This paper presents two modifications to the multi-shift QR algorithm that significantly increase it...
The QR-algorithm is a renowned method for computing all eigenvalues of an arbitrary matrix. A prelim...
ABSTRACT – The multi-shift QR algorithm for approximating the eigenvalues of a full matrix is known ...
The QR algorithm is the method of choice for computing all eigenvalues of a dense nonsymmetric matri...
The implicitly shifted (bulge chasing ) QZ algorithm is the most popular method for solving the gene...
We present a numerical example illustrating that the deflation procedure in Francis's implicitly shi...
The bulge-chasing kernel in the small-bulge multi-shift QR algorithm for the non-symmetric dense eig...
We present a new deflation criterion for the multishift QR algorithm motivated by convergence analys...
Recently an extension of the class of matrices admitting a Francis type of multishift QR algorithm w...
Aggressive early deflation has proven to significantly enhance the convergence of the QR algorithm f...
Rapid convergence of the shifted QR algorithm on symmetric matrices was shown more than fifty years ...
We develop a framework for proving rapid convergence of shifted QR algorithms which use Ritz values ...
Each iteration of the multishift QR algorithm of Bai and Demmel requires the computation of a "...
AbstractThe QR algorithm is one of the most widely used algorithms for calculating the eigenvalues o...
AbstractI reconsider some hypotheses concerning errant behaviors of the m-tuple QP iteration for rea...
This paper presents two modifications to the multi-shift QR algorithm that significantly increase it...
The QR-algorithm is a renowned method for computing all eigenvalues of an arbitrary matrix. A prelim...
ABSTRACT – The multi-shift QR algorithm for approximating the eigenvalues of a full matrix is known ...
The QR algorithm is the method of choice for computing all eigenvalues of a dense nonsymmetric matri...
The implicitly shifted (bulge chasing ) QZ algorithm is the most popular method for solving the gene...
We present a numerical example illustrating that the deflation procedure in Francis's implicitly shi...
The bulge-chasing kernel in the small-bulge multi-shift QR algorithm for the non-symmetric dense eig...
We present a new deflation criterion for the multishift QR algorithm motivated by convergence analys...
Recently an extension of the class of matrices admitting a Francis type of multishift QR algorithm w...
Aggressive early deflation has proven to significantly enhance the convergence of the QR algorithm f...
Rapid convergence of the shifted QR algorithm on symmetric matrices was shown more than fifty years ...
We develop a framework for proving rapid convergence of shifted QR algorithms which use Ritz values ...
Each iteration of the multishift QR algorithm of Bai and Demmel requires the computation of a "...