AbstractWe present a Cholesky LR algorithm with Laguerre’s shift for computing the eigenvalues of a positive definite symmetric diagonal-plus-semiseparable matrix. By exploiting the semiseparable structure, each step of the method can be performed in linear time
This paper concerns the study of a unitary transformation from a generic symmetric matrix A into a ...
AbstractThis paper deals with the eigenproblem of positive definite matrices. A numerical algorithm,...
AbstractEigenvalue computations for structured rank matrices are the subject of many investigations ...
AbstractWe present a Cholesky LR algorithm with Laguerre’s shift for computing the eigenvalues of a ...
A dense symmetric matrix can be reduced into a similar diagonal-plus-semiseparable one by means of o...
The QR algorithm is one of the classical methods to compute the eigendecomposition of a matrix. If ...
We consider algorithms for three problems in numerical linear algebra: computing the pivoted Cholesk...
AbstractIn this paper, we present a novel method for solving the unitary Hessenberg eigenvalue probl...
Abstract. This paper proposes a new type of iteration for computing eigenvalues of semiseparable (pl...
We present a new fast algorithm for solving the generalized eigenvalue problem Tx = lambda Sx, in wh...
This thesis is on the numerical computation of eigenvalues of symmetric hierarchical matrices. The n...
Let H = DAD where A is a positive definite matrix and D is diagonal and nonsingular. We show that if...
In several applications there is the need to compute a Cholesky decomposition of a given symmetric m...
A standard method for solving the symmetric definite generalized eigenvalue problem $Ax = \lambda Bx...
The QR algorithm is one of the classical methods to compute the eigendecomposition of a matrix. If i...
This paper concerns the study of a unitary transformation from a generic symmetric matrix A into a ...
AbstractThis paper deals with the eigenproblem of positive definite matrices. A numerical algorithm,...
AbstractEigenvalue computations for structured rank matrices are the subject of many investigations ...
AbstractWe present a Cholesky LR algorithm with Laguerre’s shift for computing the eigenvalues of a ...
A dense symmetric matrix can be reduced into a similar diagonal-plus-semiseparable one by means of o...
The QR algorithm is one of the classical methods to compute the eigendecomposition of a matrix. If ...
We consider algorithms for three problems in numerical linear algebra: computing the pivoted Cholesk...
AbstractIn this paper, we present a novel method for solving the unitary Hessenberg eigenvalue probl...
Abstract. This paper proposes a new type of iteration for computing eigenvalues of semiseparable (pl...
We present a new fast algorithm for solving the generalized eigenvalue problem Tx = lambda Sx, in wh...
This thesis is on the numerical computation of eigenvalues of symmetric hierarchical matrices. The n...
Let H = DAD where A is a positive definite matrix and D is diagonal and nonsingular. We show that if...
In several applications there is the need to compute a Cholesky decomposition of a given symmetric m...
A standard method for solving the symmetric definite generalized eigenvalue problem $Ax = \lambda Bx...
The QR algorithm is one of the classical methods to compute the eigendecomposition of a matrix. If i...
This paper concerns the study of a unitary transformation from a generic symmetric matrix A into a ...
AbstractThis paper deals with the eigenproblem of positive definite matrices. A numerical algorithm,...
AbstractEigenvalue computations for structured rank matrices are the subject of many investigations ...