A Filtered-Davidson Method for Large Symmetric Eigenvalue Problems

A Filtered-Davidson Method for Large Symmetric Eigenvalue Problems

Year:    2017

East Asian Journal on Applied Mathematics, Vol. 7 (2017), Iss. 1 : pp. 21–37

Abstract

For symmetric eigenvalue problems, we constructed a three-term recurrence polynomial filter by means of Chebyshev polynomials. The new filtering technique does not need to solve linear systems and only needs matrix-vector products. It is a memory conserving filtering technique for its three-term recurrence relation. As an application, we use this filtering strategy to the Davidson method and propose the filtered-Davidson method. Through choosing suitable shifts, this method can gain cubic convergence rate locally. Theory and numerical experiments show the efficiency of the new filtering technique.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.4208/eajam.160816.131016a

East Asian Journal on Applied Mathematics, Vol. 7 (2017), Iss. 1 : pp. 21–37

Published online:    2017-01

AMS Subject Headings:   

Copyright:    COPYRIGHT: © Global Science Press

Pages:    17

Keywords:    Symmetric eigenproblem filtering technique Chebyshev polynomials Krylov subspace Davidson-type method.

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