Refined SS-RRR methods with a reliable tune-free removal of spurious Ritz values improve accuracy and efficiency for computing eigenpairs of large Hermitian matrices in a target region.
(eds.): Templates for the Solution of Algebraic Eigenvalue Problems: A Practical Guide
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The paper introduces matrix-multiplication-based iterative refinement for diagonalizable non-Hermitian eigendecompositions that achieves quadratic residual reduction for simple eigenvalues and includes cluster stabilization.
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A refined CJ--SS--RR method with a reliable removal approach of spurious Ritz values for the Hermitian eigenvalue problem
Refined SS-RRR methods with a reliable tune-free removal of spurious Ritz values improve accuracy and efficiency for computing eigenpairs of large Hermitian matrices in a target region.
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Iterative Refinement for Diagonalizable Non-Hermitian Eigendecompositions
The paper introduces matrix-multiplication-based iterative refinement for diagonalizable non-Hermitian eigendecompositions that achieves quadratic residual reduction for simple eigenvalues and includes cluster stabilization.