AbstractThe aim of this paper is to show how geometric and algebraic approaches lead us to a new symplectic elementary transformations: the 2-D symplectic Householder transformations. Their features are studied in details. Their interesting properties allow us to construct a new algorithm for computing a SR factorization. This algorithm is based only on these 2-D symplectic Householder transformations. Its new features are highlighted. The study shows that, in the symplectic case, the new algorithm is the corresponding one to the classical QR factorization algorithm, via the Householder transformations. Some numerical experiments are given
AbstractA new form of the QR factorization procedure is presented which is based on a generalization...
A standard algorithm for computing the QR factorization of a matrix A is Householder triangularizati...
A standard algorithm for computing the QR factorization of a matrix A is Householder triangularizati...
AbstractThe aim of this paper is to show how geometric and algebraic approaches lead us to a new sym...
AbstractThe SR factorization is a key step for some important structure-preserving eigenproblems. In...
AbstractThe SR factorization is a key step for some important structure-preserving eigenproblems. In...
AbstractSymplectic QR-like methods use symplectic or unitary symplectic similarity transformations i...
AbstractA new form of the QR factorization procedure is presented which is based on a generalization...
AbstractSymplectic QR-like methods use symplectic or unitary symplectic similarity transformations i...
We consider the computation of the Iwasawa decomposition of a symplectic matrix via the QR factoriza...
AbstractWe consider the computation of the Iwasawa decomposition of a symplectic matrix via the QR f...
Householder Transformation (HT) is a prime building block of widely used numerical linear algebra pr...
Householder Transformation (HT) is a prime building block of widely used numerical linear algebra pr...
AbstractA Schur-type decomposition for Hamiltonian matrices is given that relies on unitary symplect...
Abstract. A symplectic block reflector is introduced. The parallel with the Euclidean block reflecto...
AbstractA new form of the QR factorization procedure is presented which is based on a generalization...
A standard algorithm for computing the QR factorization of a matrix A is Householder triangularizati...
A standard algorithm for computing the QR factorization of a matrix A is Householder triangularizati...
AbstractThe aim of this paper is to show how geometric and algebraic approaches lead us to a new sym...
AbstractThe SR factorization is a key step for some important structure-preserving eigenproblems. In...
AbstractThe SR factorization is a key step for some important structure-preserving eigenproblems. In...
AbstractSymplectic QR-like methods use symplectic or unitary symplectic similarity transformations i...
AbstractA new form of the QR factorization procedure is presented which is based on a generalization...
AbstractSymplectic QR-like methods use symplectic or unitary symplectic similarity transformations i...
We consider the computation of the Iwasawa decomposition of a symplectic matrix via the QR factoriza...
AbstractWe consider the computation of the Iwasawa decomposition of a symplectic matrix via the QR f...
Householder Transformation (HT) is a prime building block of widely used numerical linear algebra pr...
Householder Transformation (HT) is a prime building block of widely used numerical linear algebra pr...
AbstractA Schur-type decomposition for Hamiltonian matrices is given that relies on unitary symplect...
Abstract. A symplectic block reflector is introduced. The parallel with the Euclidean block reflecto...
AbstractA new form of the QR factorization procedure is presented which is based on a generalization...
A standard algorithm for computing the QR factorization of a matrix A is Householder triangularizati...
A standard algorithm for computing the QR factorization of a matrix A is Householder triangularizati...