Simultaneous triangularization of commuting matrices for the solution of polynomial equations
Open Mathematics, 2012 Cortés Vanesa, Peña Juan, Sauer Tomas
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Calculation Of Pseudospectra By The Arnoldi Iteration
, 1996 . The Arnoldi iteration, usually viewed as a method for calculating eigenvalues, can also be used to estimate pseudospectra. This possibility may be of practical importance, for in applications involving highly non-normal matrices or operators, such as ...
Lloyd N. Trefethen, Kim-Chuan Toh, Lloyd
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An eigenvalue localization set for tensors and its applications. [PDF]
J Inequal Appl, 2017 Zhao J, Sang C.
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Bounds On The Extreme Eigenvalues Of Real Symmetric Toeplitz Matrices
, 2000 We derive upper and lower bounds on the smallest and largest eigenvalues, respectively, of real symmetric Toeplitz matrices. The bounds are first obtained for positive-definite matrices and then extended to the general real symmetric case. Our bounds are
A. Melman
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DETECTING FEATURES OF EPILEPTOGENESIS IN EEG AFTER TBI USING UNSUPERVISED DIFFUSION COMPONENT ANALYSIS. [PDF]
Discrete Continuous Dyn Syst Ser B, 2018 Duncan D, Vespa P, Toga AW.
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Computable upper error bounds for Krylov approximations to matrix exponentials and associated φ -functions. [PDF]
BIT Numer Math, 2020 Jawecki T, Auzinger W, Koch O.
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An Implicitly Restarted Symplectic Lanczos Method for the Symplectic Eigenvalue Problem
, 1998 . An implicitly restarted symplectic Lanczos method for the symplectic eigenvalue problem is presented. The Lanczos vectors are constructed to form a symplectic basis.
Heike Faßbender, Peter Benner
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On the preconditioned GAOR method for a linear complementarity problem with an M-matrix. [PDF]
J Inequal Appl, 2018 Miao SX, Zhang D.
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Screening for insomnia in primary care: using a two-item version of the Sleep Condition Indicator. [PDF]
Br J Gen Pract, 2019 Luik AI +3 more
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ON THE CONVERGENCE OF A NEW RAYLEIGH QUOTIENT METHOD WITH APPLICATIONS TO LARGE EIGENPROBLEMS
, 2008 . In this paper we propose a variant of the Rayleigh quotient method to compute an eigenvalue and corresponding eigenvectors of a matrix. It is based on the observation that eigenvectors of a matrix with eigenvalue zero are also singular vectors ...
D. P. Oleary Y, G. W. Stewart Z
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