This paper introduces an algorithm for computing a QR decomposition of a polynomial matrix. The algorithm proceeds to perform the decomposition by following the same strategy in eliminating entries of the matrix as is used in the Givens method for a QR decomposition of a scalar matrix. However scalar Givens rotation matrices can no longer be applied. Instead, a polynomial Givens rotation is introduced, enabling the QR decomposition of a polynomial matrix. Convergence of the algorithm is discussed and through simulations the capability of the algorithm is assessed
The QR-algorithm is a renowned method for computing all eigenvalues of an arbitrary matrix. A prelim...
This manuscript focuses on the development of a parallel QR-factorization of structured rank matrice...
The QR algorithm computes a Schur decomposition of a matrix. It is certainly one of the most importa...
This paper introduces an algorithm for computing a QR decomposition of a polynomial matrix. The algo...
algorithm for computing the QR decomposition of a polynomial matrix This item was submitted to Lough...
A novel algorithm for calculating the QR decomposition (QRD) of polynomial matrix is proposed. The a...
In this paper, a new algorithm for calculating the QR decomposition (QRD) of a polynomial matrix is ...
A stable algorithm to compute the roots of polynomials is presented. The roots are found by computin...
A novel algorithm for calculating the singular value decomposition (SVD) of a polynomial matrix is p...
A stable algorithm to compute the roots of polynomials is presented. The roots are found by computin...
arallel strategies based on Givens rotations are proposed for updating the QR decomposition of an n ...
n this paper we propose new stable parallel algorithms based on Householder transformations and comp...
A parallel Jacobi-like method for computing the QR-decomposition of an $n \times n$ matrix is propo...
An algorithm for computing the QR decomposition of a polynomial matrix is introduced. The algorithm ...
The QR-algorithm is a renowned method for computing all eigenvalues of an arbitrary matrix. A prelim...
This manuscript focuses on the development of a parallel QR-factorization of structured rank matrice...
The QR algorithm computes a Schur decomposition of a matrix. It is certainly one of the most importa...
This paper introduces an algorithm for computing a QR decomposition of a polynomial matrix. The algo...
algorithm for computing the QR decomposition of a polynomial matrix This item was submitted to Lough...
A novel algorithm for calculating the QR decomposition (QRD) of polynomial matrix is proposed. The a...
In this paper, a new algorithm for calculating the QR decomposition (QRD) of a polynomial matrix is ...
A stable algorithm to compute the roots of polynomials is presented. The roots are found by computin...
A novel algorithm for calculating the singular value decomposition (SVD) of a polynomial matrix is p...
A stable algorithm to compute the roots of polynomials is presented. The roots are found by computin...
arallel strategies based on Givens rotations are proposed for updating the QR decomposition of an n ...
n this paper we propose new stable parallel algorithms based on Householder transformations and comp...
A parallel Jacobi-like method for computing the QR-decomposition of an $n \times n$ matrix is propo...
An algorithm for computing the QR decomposition of a polynomial matrix is introduced. The algorithm ...
The QR-algorithm is a renowned method for computing all eigenvalues of an arbitrary matrix. A prelim...
This manuscript focuses on the development of a parallel QR-factorization of structured rank matrice...
The QR algorithm computes a Schur decomposition of a matrix. It is certainly one of the most importa...