Abstract. John Francis’s implicitly shifted QR algorithm turned the problem of matrix eigen-value computation from difficult to routine almost overnight about fifty years ago. It was named one of the top ten algorithms of the twentieth century by Dongarra and Sullivan, and it deserves to be more widely known and understood by the general mathematical community. This article provides an efficient introduction to Francis’s algorithm that follows a novel path. Efficiency is gained by omitting the traditional but wholly unnecessary detour through the basic QR algorithm. A brief history of the algorithm is also included. It was not a one-man show; some other important names are Rutishauser, Wilkinson, and Kublanovskaya. Francis was never a speci...
Perhaps, the most astonishing idea in eigenvalue computation is Rutishauser's idea of applying the L...
The periodic QR algorithm is a strongly backward stable method for computing the eigenvalues of prod...
The QR-algorithm is a popular numerical method for the computation of eigenvalues of matrices. All e...
AbstractIn the year 2000 the dominant method for solving matrix eigenvalue problems is still the QR ...
Eigenvalue computations are ubiquitous in science and engineering. John Francis's implicitly shifted...
The QR-algorithm is a renowned method for computing all eigenvalues of an arbitrary matrix. A prelim...
In this section, we will consider two methods for computing an eigenvector and in addition the assoc...
Recently an extension of the class of matrices admitting a Francis type of multishift QR algorithm w...
A stable algorithm to compute the roots of polynomials is presented. The roots are found by computin...
The QR algorithm computes a Schur decomposition of a matrix. It is certainly one of the most importa...
[EN] Practical implementation of the QR algorithm: how every linear algebra software library compute...
matrix computations, eigenvalues, QR algorithm Each iteration of the multishift QR algorithm of Bai ...
The QR algorithm is an algorithm for computing the spectral de-composition of a symmetric matrix [9]...
This algorithm is an extension of Moler and Stewart's QZ algorithm with some added features for savi...
A stable algorithm to compute the roots of polynomials is presented. The roots are found by computin...
Perhaps, the most astonishing idea in eigenvalue computation is Rutishauser's idea of applying the L...
The periodic QR algorithm is a strongly backward stable method for computing the eigenvalues of prod...
The QR-algorithm is a popular numerical method for the computation of eigenvalues of matrices. All e...
AbstractIn the year 2000 the dominant method for solving matrix eigenvalue problems is still the QR ...
Eigenvalue computations are ubiquitous in science and engineering. John Francis's implicitly shifted...
The QR-algorithm is a renowned method for computing all eigenvalues of an arbitrary matrix. A prelim...
In this section, we will consider two methods for computing an eigenvector and in addition the assoc...
Recently an extension of the class of matrices admitting a Francis type of multishift QR algorithm w...
A stable algorithm to compute the roots of polynomials is presented. The roots are found by computin...
The QR algorithm computes a Schur decomposition of a matrix. It is certainly one of the most importa...
[EN] Practical implementation of the QR algorithm: how every linear algebra software library compute...
matrix computations, eigenvalues, QR algorithm Each iteration of the multishift QR algorithm of Bai ...
The QR algorithm is an algorithm for computing the spectral de-composition of a symmetric matrix [9]...
This algorithm is an extension of Moler and Stewart's QZ algorithm with some added features for savi...
A stable algorithm to compute the roots of polynomials is presented. The roots are found by computin...
Perhaps, the most astonishing idea in eigenvalue computation is Rutishauser's idea of applying the L...
The periodic QR algorithm is a strongly backward stable method for computing the eigenvalues of prod...
The QR-algorithm is a popular numerical method for the computation of eigenvalues of matrices. All e...