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
AbstractThe goal of this paper is to increase our understanding of harmonic Rayleigh–Ritz for real s...
Given an approximate eigenvector, its (standard) Rayleigh quotient and harmonic Rayleigh quotient ar...
We propose subspace methods for 3-parameter eigenvalue problems. Such problems arise when separation...
We study harmonic and refined extraction methods for the multiparameter eigenvalue problem. These te...
Abstract. We study harmonic and refined extraction methods for the multiparameter eigenvalue problem...
We investigate several generalizations of the harmonic and refined Rayleigh-Ritz method. These may b...
Abstract. After reviewing the harmonic Rayleigh–Ritz approach for the standard and generalized eigen...
We study a homogeneous variant of the Jacobi-Davidson method for the generalized and polynomial eige...
Our main aim is the accurate computation of a large number of specified eigenvalues and eigenvectors...
The problem in this paper is to construct accurate approximations from a subspace to eigenpairs for ...
We present several transformations that can be used to solve the quadratic two-parameter eigenvalue ...
In numerous science and engineering applications a partial differential equation has to be solved on...
AbstractAn extended Rayleigh-Ritz method for computing two-sided eigenvalue bounds of the one-dimens...
AbstractA restarted Arnoldi algorithm is given that computes eigenvalues and eigenvectors. It is rel...
We consider the quadratic eigenvalue problem ¿2Ax + ¿Bx + Cx = 0. Suppose that u is an approximation...
AbstractThe goal of this paper is to increase our understanding of harmonic Rayleigh–Ritz for real s...
Given an approximate eigenvector, its (standard) Rayleigh quotient and harmonic Rayleigh quotient ar...
We propose subspace methods for 3-parameter eigenvalue problems. Such problems arise when separation...
We study harmonic and refined extraction methods for the multiparameter eigenvalue problem. These te...
Abstract. We study harmonic and refined extraction methods for the multiparameter eigenvalue problem...
We investigate several generalizations of the harmonic and refined Rayleigh-Ritz method. These may b...
Abstract. After reviewing the harmonic Rayleigh–Ritz approach for the standard and generalized eigen...
We study a homogeneous variant of the Jacobi-Davidson method for the generalized and polynomial eige...
Our main aim is the accurate computation of a large number of specified eigenvalues and eigenvectors...
The problem in this paper is to construct accurate approximations from a subspace to eigenpairs for ...
We present several transformations that can be used to solve the quadratic two-parameter eigenvalue ...
In numerous science and engineering applications a partial differential equation has to be solved on...
AbstractAn extended Rayleigh-Ritz method for computing two-sided eigenvalue bounds of the one-dimens...
AbstractA restarted Arnoldi algorithm is given that computes eigenvalues and eigenvectors. It is rel...
We consider the quadratic eigenvalue problem ¿2Ax + ¿Bx + Cx = 0. Suppose that u is an approximation...
AbstractThe goal of this paper is to increase our understanding of harmonic Rayleigh–Ritz for real s...
Given an approximate eigenvector, its (standard) Rayleigh quotient and harmonic Rayleigh quotient ar...
We propose subspace methods for 3-parameter eigenvalue problems. Such problems arise when separation...