Eigenvalue condition numbers: zero-structured versus traditional
Journal of Computational and Applied Mathematics
Eigenvalue patterned condition numbers: Toeplitz and Hankel cases
Journal of Computational and Applied Mathematics
Eigenvalue condition numbers: Zero-structured versus traditional
Journal of Computational and Applied Mathematics
ESPRIT condition in signal parameter estimation
SARNOFF'09 Proceedings of the 32nd international conference on Sarnoff symposium
Applied Numerical Mathematics
An overview on the eigenvalue computation for matrices
Neural, Parallel & Scientific Computations
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Backward errors and condition numbers are defined and evaluated for eigenvalues and eigenvectors of generalized eigenvalue problems. Both normwise and componentwise measures are used. Unstructured problems are considered first, and then the basic definitions are extended so that linear structure in the coefficient matrices (for example, Hermitian, Toeplitz, Hamiltonian, or band structure) is preserved by the perturbations.