AbstractIn this paper, we elaborate on the implicit shifted QR eigenvalue algorithm given in [D.A. Bini, P. Boito, Y. Eidelman, L. Gemignani, I. Gohberg, A fast implicit QR eigenvalue algorithm for companion matrices, Linear Algebra Appl. 432 (2010), 2006–2031]. The algorithm is substantially simplified and speeded up while preserving its numerical robustness. This allows us to obtain a potentially important advance towards a proof of its backward stability together with both cost reductions and implementative benefits
[EN] Practical implementation of the QR algorithm: how every linear algebra software library compute...
The class of eigenvalue problems for upper Hessenberg matrices of banded-plus-spike form includes co...
International audienceA fast implicit QR algorithm for eigenvalue computation of low rank correction...
AbstractAn implicit version of the shifted QR eigenvalue algorithm given in Bini et al. [D.A. Bini, ...
International audienceIn this paper we elaborate on the implicit shifted QR eigenvalue algorithm giv...
An implicit version of the QR eigenvalue algorithm given in [D. A. Bini, Y. Eidelman
In this paper an implicit (double) shifted QR-method for computing the eigenvalues of companion and ...
International audienceAn implicit version of the shifted QR eigenvalue algorithm given in Bini et al...
International audienceA fast implicit QR algorithm for eigenvalue computation of low rank correction...
Some fast algorithms for computing the eigenvalues of a block companion matrix A=U+XYH, where U∈Cn×n...
AbstractIn this paper we describe how to compute the eigenvalues of a unitary rank structured matrix...
The QR-algorithm is a renowned method for computing all eigenvalues of an arbitrary matrix. A prelim...
Eigenvalue computations are ubiquitous in science and engineering. John Francis's implicitly shifted...
A stable algorithm to compute the roots of polynomials is presented. The roots are found by computin...
Hermitian plus possibly non-Hermitian low rank matrices can be efficiently reduced into Hessenberg f...
[EN] Practical implementation of the QR algorithm: how every linear algebra software library compute...
The class of eigenvalue problems for upper Hessenberg matrices of banded-plus-spike form includes co...
International audienceA fast implicit QR algorithm for eigenvalue computation of low rank correction...
AbstractAn implicit version of the shifted QR eigenvalue algorithm given in Bini et al. [D.A. Bini, ...
International audienceIn this paper we elaborate on the implicit shifted QR eigenvalue algorithm giv...
An implicit version of the QR eigenvalue algorithm given in [D. A. Bini, Y. Eidelman
In this paper an implicit (double) shifted QR-method for computing the eigenvalues of companion and ...
International audienceAn implicit version of the shifted QR eigenvalue algorithm given in Bini et al...
International audienceA fast implicit QR algorithm for eigenvalue computation of low rank correction...
Some fast algorithms for computing the eigenvalues of a block companion matrix A=U+XYH, where U∈Cn×n...
AbstractIn this paper we describe how to compute the eigenvalues of a unitary rank structured matrix...
The QR-algorithm is a renowned method for computing all eigenvalues of an arbitrary matrix. A prelim...
Eigenvalue computations are ubiquitous in science and engineering. John Francis's implicitly shifted...
A stable algorithm to compute the roots of polynomials is presented. The roots are found by computin...
Hermitian plus possibly non-Hermitian low rank matrices can be efficiently reduced into Hessenberg f...
[EN] Practical implementation of the QR algorithm: how every linear algebra software library compute...
The class of eigenvalue problems for upper Hessenberg matrices of banded-plus-spike form includes co...
International audienceA fast implicit QR algorithm for eigenvalue computation of low rank correction...