- Referenced in 682 articles
- compute a few eigenvalues and corresponding eigenvectors of a general n by n matrix ... numerically orthogonal to working precision. Numerically accurate eigenvectors are available on request...
- Referenced in 497 articles
- some desirable property together with the associated eigenvectors of a matrix pencil A-lambda...
- Referenced in 451 articles
- Fortran subroutines that compute the eigenvalues and eigenvectors of nine classes of matrices: complex general...
- Referenced in 428 articles
- some desirable property together with the associated eigenvectors of a matrix A. The matrix...
- Referenced in 291 articles
- eigs: Largest eigenvalues and eigenvectors of matrix The author describes and analyses a new implementation ... computing a few eigenvalues and the corresponding eigenvectors of a large general square matrix (which...
- Referenced in 160 articles
- computing a few eigenvalues and the corresponding eigenvectors of a large general square matrix (which...
- Referenced in 87 articles
- preconditioned conjugate gradient method for finding an eigenvector as an element of the null-space...
- Referenced in 66 articles
- perform unconstrained minimization, to compute eigenvalues, eigenvectors, the singular value decomposition, or the QR decomposition...
- Referenced in 51 articles
- complex tasks such as matrix inversion or eigenvector generation...
- Referenced in 45 articles
- that finds several eigenvalues and their corresponding eigenvectors in a given domain is used. This...
- Referenced in 42 articles
- first approach is based on the eigenvectors of a robust scatter matrix such...
- Referenced in 40 articles
- problem, and obtaining all the eigenvalues and eigenvectors within a given search interval...
- Referenced in 36 articles
- smallest eigenvalues and associated eigenvectors of a (large sparse) real symmetric matrix. A version...
- Referenced in 34 articles
- upper bound on the cardinality of its eigenvector. The problem arises in the decomposition...
- Referenced in 18 articles
- limited set of eigenvalues and their corresponding eigenvectors in a certain region of generalized eigenvalue ... invariant subspace that contains the desired eigenvectors. Approximations are extracted from the subspace through...
- Referenced in 15 articles
- arise when the associated sets of eigenvectors are ill-conditioned with respect to the norm ... operator is non-normal, and the eigenvectors are not orthogonal. Pseudospectra provide an analytical...
- Referenced in 20 articles
- distribution, heavy tails for the eigenvalues and eigenvectors, small diameters, and densification and shrinking diameters...
- Referenced in 19 articles
- spatial regression models, semi-parametric and Moran eigenvector spatial filtering, GM SAR error models...
- Referenced in 19 articles
- does not yet support the computation of eigenvectors or the reordering of the Schur decomposition...
- Referenced in 17 articles
- eigenvalues and first components of the eigenvectors are desired, as in the applications mentioned above...