We study harmonic and refined extraction methods for the multiparameter eigenvalue problem. These techniques are generalizations of their counterparts for the standard and generalized eigenvalue problem. The methods aim to approximate interior eigenpairs, generally more accurately than the standard extraction does. We study their properties and give Saad-type theorems. The processes can be combined with any subspace expansion approach, for instance a Jacobi-Davidson type technique, to form a subspace method for multiparameter eigenproblems of high dimension
Large scale eigenvalue computation is about approximating certain invariant sub-spaces associated wi...
AbstractComputing eigenvalues from the interior of the spectrum of a large matrix is a difficult pro...
In numerous science and engineering applications a partial differential equation has to be solved on...
Abstract. We study harmonic and refined extraction methods for the multiparameter eigenvalue problem...
We study harmonic and refined extraction methods for the multiparameter eigenvalue problem. These te...
After reviewing the harmonic Rayleigh-Ritz approach for the standard and generalized eigenvalue prob...
We investigate several generalizations of the harmonic and refined Rayleigh-Ritz method. These may b...
The problem in this paper is to construct accurate approximations from a subspace to eigenpairs for ...
One crucial step of the solution of large-scale generalized eigenvalue problems with iterative subsp...
AbstractThe goal of this paper is to increase our understanding of harmonic Rayleigh–Ritz for real s...
AbstractThe global Arnoldi method can be used to compute exterior eigenpairs of a large non-Hermitia...
International audienceIn subspace-based methods for mulditimensional harmonic retrieval, the modes c...
Computing eigenvalues from the interior of the spectrum of a large matrix is a difficult problem. Th...
We study a homogeneous variant of the Jacobi-Davidson method for the generalized and polynomial eige...
This thesis treats a number of aspects of subspace methods for various eigenvalue problems. Vibrat...
Large scale eigenvalue computation is about approximating certain invariant sub-spaces associated wi...
AbstractComputing eigenvalues from the interior of the spectrum of a large matrix is a difficult pro...
In numerous science and engineering applications a partial differential equation has to be solved on...
Abstract. We study harmonic and refined extraction methods for the multiparameter eigenvalue problem...
We study harmonic and refined extraction methods for the multiparameter eigenvalue problem. These te...
After reviewing the harmonic Rayleigh-Ritz approach for the standard and generalized eigenvalue prob...
We investigate several generalizations of the harmonic and refined Rayleigh-Ritz method. These may b...
The problem in this paper is to construct accurate approximations from a subspace to eigenpairs for ...
One crucial step of the solution of large-scale generalized eigenvalue problems with iterative subsp...
AbstractThe goal of this paper is to increase our understanding of harmonic Rayleigh–Ritz for real s...
AbstractThe global Arnoldi method can be used to compute exterior eigenpairs of a large non-Hermitia...
International audienceIn subspace-based methods for mulditimensional harmonic retrieval, the modes c...
Computing eigenvalues from the interior of the spectrum of a large matrix is a difficult problem. Th...
We study a homogeneous variant of the Jacobi-Davidson method for the generalized and polynomial eige...
This thesis treats a number of aspects of subspace methods for various eigenvalue problems. Vibrat...
Large scale eigenvalue computation is about approximating certain invariant sub-spaces associated wi...
AbstractComputing eigenvalues from the interior of the spectrum of a large matrix is a difficult pro...
In numerous science and engineering applications a partial differential equation has to be solved on...