Matrix computations (3rd ed.)
Relative Residual Bounds For The Eigenvalues of a Hermitian Semidefinite Matrix
SIAM Journal on Matrix Analysis and Applications
The symmetric eigenvalue problem
The symmetric eigenvalue problem
Quadratic Residual Bounds for the Hermitian Eigenvalue Problem
SIAM Journal on Matrix Analysis and Applications
Accuracy and Stability of Numerical Algorithms
Accuracy and Stability of Numerical Algorithms
The university of Florida sparse matrix collection
ACM Transactions on Mathematical Software (TOMS)
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The paper investigates the properties of Lehmann's optimal bounds for eigenvalues of Hermitian problems in order to find a way to efficiently use them for eigenvalue error estimation. A practical error estimation scheme is described that can be employed in the framework of a subspace iteration algorithm and is actually implemented by the $HSL\_ea19$ software package from the HSL Mathematical Software Library of Rutherford Appleton Laboratory.