Abstract. Structured real canonical forms for matrices in Rn×n that are symmetric or skew-symmetric about the anti-diagonal as well as the main diagonal are presented, and Jacobi algorithms for solving the complete eigenproblem for three of these four classes of matrices are developed. Based on the direct solution of 4 × 4 subproblems constructed via quaternions, the algorithms cal-culate structured orthogonal bases for the invariant subspaces of the associated matrix. In addition to preserving structure, these methods are inherently parallelizable, numerically stable, and show asymptotic quadratic convergence
AbstractA real symmetric matrix of order n has a full set of orthogonal eigenvectors. The most used ...
This paper investigates the effect of structure-preserving perturbations on the eigenvalues of linea...
Obtaining the eigenvalues and eigenvectors of large matrices is a key problem in electronic structur...
Abstract. Structured real canonical forms for matrices in Rn×n that are symmetric or skew-symmetric ...
Structured real canonical forms for matrices in Rnn that are symmetric or skew-symmetric about the a...
AbstractWe develop Jacobi algorithms for solving the complete eigenproblem for Hamiltonian and skew-...
Matrices arising in linear-response time-dependent density functional theory and many-body perturbat...
Abstract. Various applications give rise to eigenvalue problems for which the matrices are Hamiltoni...
Most eigenvalue problems arising in practice are known to be structured. Structure is often introduc...
Various applications give rise to eigenvalue problems for which the matrices are Hamiltonian or skew...
This PhD thesis is an important development in the theories, methods, and applications of eigenvalue...
Abstract. We discuss the numerical solution of structured generalized eigenvalue problems that arise...
Interplay between structured matrices and corresponding systems of polynomials is a classical topic,...
This paper investigates the effect of structure-preserving perturbations on the eigenvalues of line...
[[abstract]]Numerical methods for the solution of large scale structured quadratic eigenvalue proble...
AbstractA real symmetric matrix of order n has a full set of orthogonal eigenvectors. The most used ...
This paper investigates the effect of structure-preserving perturbations on the eigenvalues of linea...
Obtaining the eigenvalues and eigenvectors of large matrices is a key problem in electronic structur...
Abstract. Structured real canonical forms for matrices in Rn×n that are symmetric or skew-symmetric ...
Structured real canonical forms for matrices in Rnn that are symmetric or skew-symmetric about the a...
AbstractWe develop Jacobi algorithms for solving the complete eigenproblem for Hamiltonian and skew-...
Matrices arising in linear-response time-dependent density functional theory and many-body perturbat...
Abstract. Various applications give rise to eigenvalue problems for which the matrices are Hamiltoni...
Most eigenvalue problems arising in practice are known to be structured. Structure is often introduc...
Various applications give rise to eigenvalue problems for which the matrices are Hamiltonian or skew...
This PhD thesis is an important development in the theories, methods, and applications of eigenvalue...
Abstract. We discuss the numerical solution of structured generalized eigenvalue problems that arise...
Interplay between structured matrices and corresponding systems of polynomials is a classical topic,...
This paper investigates the effect of structure-preserving perturbations on the eigenvalues of line...
[[abstract]]Numerical methods for the solution of large scale structured quadratic eigenvalue proble...
AbstractA real symmetric matrix of order n has a full set of orthogonal eigenvectors. The most used ...
This paper investigates the effect of structure-preserving perturbations on the eigenvalues of linea...
Obtaining the eigenvalues and eigenvectors of large matrices is a key problem in electronic structur...