AbstractA new method for computing several largest eigenvalues of a matrix has some common features with the power method but uses orthogonal projections instead of the customary ways of deflation. The rate of convergence is basically the same as for the power method but the fast refinement of the approximations to eigenvalues and eigenvectors in the cases of real symmetric and Hermitian matrices can be done even without the inverse iterations
AbstractOptimization involving eigenvalues arise in many engineering problems. We propose a new algo...
Elsner L, van den Driessche P. On the power method in max algebra. In: Linear Algebra and its Appli...
[EN] Practical implementation of the QR algorithm: how every linear algebra software library compute...
AbstractA new method for computing several largest eigenvalues of a matrix has some common features ...
In this section, we will consider two methods for computing an eigenvector and in addition the assoc...
Many fields make use of the concepts about eigenvalues in their studies. In engineering, physics, st...
AbstractWe propose a new QR-like algorithm, symmetric squared QR (SSQR) method, that can be readily ...
In many applications, it is desired to obtain extreme eigenvalues and eigenvectors of large Hermitia...
AbstractA technique is presented to shift an eigenvalue of a complex matrix. It can be used in the p...
AbstractIn this paper we give two generalizations of the well-known power method for computing the d...
This document extends the idea of the power method to polynomial para-Hermitian matrices for the ext...
AbstractLet B be a given positive definite Hermitian matrix, and assume the matrix P satisfies the “...
AbstractIn a recent work by Sidi and Bridger some old and some new extensions of the power method ha...
AbstractA variant of the power method is analyzed, and a geometric description of the orbits is give...
AbstractThis paper deals with the eigenproblem of positive definite matrices. A numerical algorithm,...
AbstractOptimization involving eigenvalues arise in many engineering problems. We propose a new algo...
Elsner L, van den Driessche P. On the power method in max algebra. In: Linear Algebra and its Appli...
[EN] Practical implementation of the QR algorithm: how every linear algebra software library compute...
AbstractA new method for computing several largest eigenvalues of a matrix has some common features ...
In this section, we will consider two methods for computing an eigenvector and in addition the assoc...
Many fields make use of the concepts about eigenvalues in their studies. In engineering, physics, st...
AbstractWe propose a new QR-like algorithm, symmetric squared QR (SSQR) method, that can be readily ...
In many applications, it is desired to obtain extreme eigenvalues and eigenvectors of large Hermitia...
AbstractA technique is presented to shift an eigenvalue of a complex matrix. It can be used in the p...
AbstractIn this paper we give two generalizations of the well-known power method for computing the d...
This document extends the idea of the power method to polynomial para-Hermitian matrices for the ext...
AbstractLet B be a given positive definite Hermitian matrix, and assume the matrix P satisfies the “...
AbstractIn a recent work by Sidi and Bridger some old and some new extensions of the power method ha...
AbstractA variant of the power method is analyzed, and a geometric description of the orbits is give...
AbstractThis paper deals with the eigenproblem of positive definite matrices. A numerical algorithm,...
AbstractOptimization involving eigenvalues arise in many engineering problems. We propose a new algo...
Elsner L, van den Driessche P. On the power method in max algebra. In: Linear Algebra and its Appli...
[EN] Practical implementation of the QR algorithm: how every linear algebra software library compute...
DOI
Add to ORKG