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Improving the Accuracy of Computed Eigenvalues and Eigenvectors
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/3-540-07546-1openalex-snapshot
Matrix Eigensystem Routines — EISPACK Guide
inferredcites →https://doi.org/10.1007/3-540-08254-9openalex-snapshot
Matrix Eigensystem Routines — EISPACK Guide Extension
inferredcites →https://doi.org/10.1007/bf01396059openalex-snapshot
Error bounds for computed eigenvalues and eigenvectors
inferredcites →https://doi.org/10.1007/bf01396310openalex-snapshot
Realistic error bounds for a simple eigenvalue and its associated eigenvector
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The algebraic eigenvalue problem
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Improving the accuracy of computed matrix eigenvalues
inferredcites →https://doi.org/10.2307/2004896openalex-snapshot
Computational Solution of Nonlinear Operator Equations
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Computational error bounds for multiple or nearly multiple eigenvalues
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New algorithms for the iterative refinement of estimates of invariant subspaces
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ILL Conditioned Eigenproblems
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Mixed-Precision Algorithm for Finding Selected Eigenvalues and Eigenvectors of Symmetric and Hermitian Matrices1
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Reduction of a General Matrix to Tridiagonal Form
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Residual Inverse Iteration for the Nonlinear Eigenvalue Problem
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The Projected Newton Method Has Order $1 + \sqrt 2 $ for the Symmetric Eigenvalue Problem
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A Parallel Algorithm for the Nonsymmetric Eigenvalue Problem
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A Grassmann--Rayleigh Quotient Iteration for Computing Invariant Subspaces
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