AbstractThis manuscript focusses on an alternative method for computing the eigenvalues of a pencil of two matrices, based on semiseparable matrices. An effective reduction of a matrix pair to lower semiseparable, upper triangular form will be presented as well as a QZ-iteration for this matrix pair. Important to remark is that this reduction procedure also inherits a kind of nested subspace iteration as was the case when solving the standard eigenvalue problem with semiseparable matrices. It will also be shown, that the QZ-iteration for a semiseparable-triangular matrix pair is closely related to the QZ-iteration for a Hessenberg-triangular matrix pair
In the last decade matrix polynomials have been investigated with the primary focus on adequate line...
The matrix eigenvalue problem is often encountered in scientific computing applications. Although it...
International audienceWe design a fast implicit real QZ algorithm for eigenvalue computation of stru...
This manuscript focusses on an alternative method for computing the eigenvalues of a pencil of two m...
AbstractThis manuscript focusses on an alternative method for computing the eigenvalues of a pencil ...
This manuscript focusses on the translation of the traditional eigenvalue problem, based on sparse m...
AbstractEigenvalue computations for structured rank matrices are the subject of many investigations ...
Abstract. This paper proposes a new type of iteration for computing eigenvalues of semiseparable (pl...
Recently an extension of the class of matrices admitting a Francis type of multishift QR algorithm w...
AbstractIn this paper, we present a novel method for solving the unitary Hessenberg eigenvalue probl...
We propose a rational QZ method for the solution of the dense, unsymmetric generalized eigenvalue pr...
We design a fast implicit real QZ algorithm for eigenvalue computation of structured companion penci...
The QR algorithm is one of the classical methods to compute the eigendecomposition of a matrix. If ...
Eigenvalue computations for structured rank matrices are the subject of many investigations nowadays...
This algorithm is an extension of Moler and Stewart's QZ algorithm with some added features for savi...
In the last decade matrix polynomials have been investigated with the primary focus on adequate line...
The matrix eigenvalue problem is often encountered in scientific computing applications. Although it...
International audienceWe design a fast implicit real QZ algorithm for eigenvalue computation of stru...
This manuscript focusses on an alternative method for computing the eigenvalues of a pencil of two m...
AbstractThis manuscript focusses on an alternative method for computing the eigenvalues of a pencil ...
This manuscript focusses on the translation of the traditional eigenvalue problem, based on sparse m...
AbstractEigenvalue computations for structured rank matrices are the subject of many investigations ...
Abstract. This paper proposes a new type of iteration for computing eigenvalues of semiseparable (pl...
Recently an extension of the class of matrices admitting a Francis type of multishift QR algorithm w...
AbstractIn this paper, we present a novel method for solving the unitary Hessenberg eigenvalue probl...
We propose a rational QZ method for the solution of the dense, unsymmetric generalized eigenvalue pr...
We design a fast implicit real QZ algorithm for eigenvalue computation of structured companion penci...
The QR algorithm is one of the classical methods to compute the eigendecomposition of a matrix. If ...
Eigenvalue computations for structured rank matrices are the subject of many investigations nowadays...
This algorithm is an extension of Moler and Stewart's QZ algorithm with some added features for savi...
In the last decade matrix polynomials have been investigated with the primary focus on adequate line...
The matrix eigenvalue problem is often encountered in scientific computing applications. Although it...
International audienceWe design a fast implicit real QZ algorithm for eigenvalue computation of stru...