AbstractLet H be an n × n unitary right Hessenberg matrix with positive subdiagonal elements. Using what we call the Schur parameterization of H, we show how one step of the shifted QR algorithm for H can be carried out in O(n) arithmetic operations. Coupled with the shift strategy of Eberlein and Huang [3], this will permit computation of the spectrum of H, to machine precision, in O(n2) operations. One potential application is the computation of Gauss-Szegö quadrature formulas [12], given the associated Schur parameters [7]. The weights can also be computed, by direct analogy with [6]
The QR-algorithm is a renowned method for computing all eigenvalues of an arbitrary matrix. A prelim...
Let L̂ be a positive definite bilinear functional on the unit circle defined on Pn, the space of pol...
Let U \Gamma V be an n \Theta n pencil with unitary matrices U and V . An algorithm is presented whi...
AbstractLet H be an n × n unitary right Hessenberg matrix with positive subdiagonal elements. Using ...
We consider the numerical construction of a unitary Hessenberg matrix from spectral data using an in...
Several direct implementations of the QR algorithm for a unitary Hessenberg matrix are numerically u...
The QR-algorithm is a renowned method for computing all eigenvalues of an arbitrary matrix. A prelim...
Some fast algorithms for computing the eigenvalues of a block companion matrix A=U+XYH, where U∈Cn×n...
AbstractLet U−λV be an n×n pencil with unitary matrices U and V. An algorithm is presented which red...
AbstractIn this paper, we present a novel method for solving the unitary Hessenberg eigenvalue probl...
The QR-algorithm is a renowned method for computing all eigenvalues of an arbitrary matrix. A prelim...
AbstractI reconsider some hypotheses concerning errant behaviors of the m-tuple QP iteration for rea...
AbstractIn this paper, we present a novel method for solving the unitary Hessenberg eigenvalue probl...
AbstractIn this paper we describe how to compute the eigenvalues of a unitary rank structured matrix...
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...
Let L̂ be a positive definite bilinear functional on the unit circle defined on Pn, the space of pol...
Let U \Gamma V be an n \Theta n pencil with unitary matrices U and V . An algorithm is presented whi...
AbstractLet H be an n × n unitary right Hessenberg matrix with positive subdiagonal elements. Using ...
We consider the numerical construction of a unitary Hessenberg matrix from spectral data using an in...
Several direct implementations of the QR algorithm for a unitary Hessenberg matrix are numerically u...
The QR-algorithm is a renowned method for computing all eigenvalues of an arbitrary matrix. A prelim...
Some fast algorithms for computing the eigenvalues of a block companion matrix A=U+XYH, where U∈Cn×n...
AbstractLet U−λV be an n×n pencil with unitary matrices U and V. An algorithm is presented which red...
AbstractIn this paper, we present a novel method for solving the unitary Hessenberg eigenvalue probl...
The QR-algorithm is a renowned method for computing all eigenvalues of an arbitrary matrix. A prelim...
AbstractI reconsider some hypotheses concerning errant behaviors of the m-tuple QP iteration for rea...
AbstractIn this paper, we present a novel method for solving the unitary Hessenberg eigenvalue probl...
AbstractIn this paper we describe how to compute the eigenvalues of a unitary rank structured matrix...
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...
Let L̂ be a positive definite bilinear functional on the unit circle defined on Pn, the space of pol...
Let U \Gamma V be an n \Theta n pencil with unitary matrices U and V . An algorithm is presented whi...