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An orthogonal accelerated deflation technique for large symmetric eigenproblems - MaRDI portal

An orthogonal accelerated deflation technique for large symmetric eigenproblems (Q1192738)

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scientific article; zbMATH DE number 61389
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An orthogonal accelerated deflation technique for large symmetric eigenproblems
scientific article; zbMATH DE number 61389

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    An orthogonal accelerated deflation technique for large symmetric eigenproblems (English)
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    27 September 1992
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    Eigenvalue algorithms for large sparse symmetric generalized matrix eigenvalue problems based on conjugate gradient minimization of the Rayleigh quotient with incomplete Chebyshev preconditioning are discussed. It is shown on a numerical example that it is faster to use successive deflation than simultaneous iteration, when several of the smallest eigenvalues are sought, (at least when these are simple).
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    conjugate gradient iterations
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    Eigenvalue algorithms
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    large sparse symmetric generalized matrix eigenvalue problems
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    conjugate gradient minimization
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    Rayleigh quotient
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    incomplete Chebyshev preconditioning
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    numerical example
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    successive deflation
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    simultaneous iteration
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