This paper considers a number of schemes for computing an approximate invariant subspace associated with the smallest eigenvalues of a sparse symmetric (real) matrix. The approach taken is that of the so-called ``correction equation'' which leads to such standard schemes as the Jacobi-Davidson method or Olsen's method. We consider the situation of block corrections and discuss two algorithms. The application of the viewpoint that is developed is then explored for Domain Decomposition methods. \\ Dans ce papier, sont étudiés plusieurs schémas pour le calcul des plus petites valeurs propres d'une matrice creuse symétrique réelle. L'approche choisie consiste à utiliser une équation dite de ``correction'' qui peut aboutir à des schémas connus d...
New methods for refining estimates of invariant subspaces of a non-symmetric matrix are presented. W...
We discuss the generalized Davidson's algorithm for computing accurate approximations of the k princ...
The classical Rayleigh quotient iteration (RQI) allows one to compute a one-dimensional invariant su...
This paper considers a number of schemes for computing an approximate invariant subspace associated ...
Abstract. We discuss approaches for an efficient handling of the correction equation in the Jacobi-D...
We discuss approaches for an efficient handling of the correction equation in the Jacobi-Davidson me...
The correction equation in the Jacobi-Davidson method is effective in a subspace orthogonal to the c...
AbstractThis paper gives an overview for the method of subspace corrections. The method is first mot...
In several applications in science and engineering, different types of matrix problems emerge from t...
AbstractA central problem in the Jacobi-Davidson method is to expand a projection subspace by solvin...
AbstractWe present new algorithms for the numerical approximation of eigenvalues and invariant subsp...
A problem that is frequently encountered in a variety of mathematical contexts is to find the common...
AbstractIn this paper we propose a Modified Block Newton Method (MBNM) for approximating an invarian...
Die vorliegende Arbeit beschäftigt sich mit dem symmetrischen Matrix-Eigenwertproblem. Im ersten Tei...
: We compare the block-Lanczos and the Davidson methods for computing a basis of a singular subspace...
New methods for refining estimates of invariant subspaces of a non-symmetric matrix are presented. W...
We discuss the generalized Davidson's algorithm for computing accurate approximations of the k princ...
The classical Rayleigh quotient iteration (RQI) allows one to compute a one-dimensional invariant su...
This paper considers a number of schemes for computing an approximate invariant subspace associated ...
Abstract. We discuss approaches for an efficient handling of the correction equation in the Jacobi-D...
We discuss approaches for an efficient handling of the correction equation in the Jacobi-Davidson me...
The correction equation in the Jacobi-Davidson method is effective in a subspace orthogonal to the c...
AbstractThis paper gives an overview for the method of subspace corrections. The method is first mot...
In several applications in science and engineering, different types of matrix problems emerge from t...
AbstractA central problem in the Jacobi-Davidson method is to expand a projection subspace by solvin...
AbstractWe present new algorithms for the numerical approximation of eigenvalues and invariant subsp...
A problem that is frequently encountered in a variety of mathematical contexts is to find the common...
AbstractIn this paper we propose a Modified Block Newton Method (MBNM) for approximating an invarian...
Die vorliegende Arbeit beschäftigt sich mit dem symmetrischen Matrix-Eigenwertproblem. Im ersten Tei...
: We compare the block-Lanczos and the Davidson methods for computing a basis of a singular subspace...
New methods for refining estimates of invariant subspaces of a non-symmetric matrix are presented. W...
We discuss the generalized Davidson's algorithm for computing accurate approximations of the k princ...
The classical Rayleigh quotient iteration (RQI) allows one to compute a one-dimensional invariant su...