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- 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...
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- some desirable property together with the associated eigenvectors of a matrix A. The matrix...
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- computing a few eigenvalues and the corresponding eigenvectors of a large general square matrix (which...
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- perform unconstrained minimization, to compute eigenvalues, eigenvectors, the singular value decomposition, or the QR decomposition...
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- complex tasks such as matrix inversion or eigenvector generation...
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- first approach is based on the eigenvectors of a robust scatter matrix such...
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- that finds several eigenvalues and their corresponding eigenvectors in a given domain is used. This...
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- upper bound on the cardinality of its eigenvector. The problem arises in the decomposition...
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- spatial regression models, semi-parametric and Moran eigenvector spatial filtering, GM SAR error models...
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- distribution, heavy tails for the eigenvalues and eigenvectors, small diameters, and densification and shrinking diameters...
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- 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...
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- does not yet support the computation of eigenvectors or the reordering of the Schur decomposition...
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- eigenvalues and optionally the right and left eigenvectors of dense quadratic matrix polynomials. It incorporates...