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Eigenvalue Spectrum Estimation and Photonic Crystals

Record type: Conference or Workshop Item (Other)

We have developed an algorithm for the estimation of eigenvalue spectra and have applied it to the determination of the density of states in a photonic crystal, which requires the repeated solution of a generalized eigenvalue problem. We demonstrate that the algorithm offers significant advantages in time, memory, and ease of parallelization over conventional subspace iteration algorithms. In particular it is possible to obtain more than two orders of magnitude speedup in time over subspace methods for modestly sized matrices. For larger matrices the savings are even greater, whilst retaining accurate resolution of features of the eigenspectrum.

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Citation

Thomas, K.S., Cox, S.J., Beckett, D.H., Hiett, B.P., Generowicz, J.M. and Daniell, G.J., (2001) Eigenvalue Spectrum Estimation and Photonic Crystals Sakellariou, R, Keane, J., Gurd, J. and Freeman, L. (eds.) At 7th International Euro-Par Conference. , pp. 578-586.

More information

Published date: August 2001
Additional Information: Address: Berlin
Venue - Dates: 7th International Euro-Par Conference, 2001-08-01
Organisations: Electronic & Software Systems

Identifiers

Local EPrints ID: 256537
URI: http://eprints.soton.ac.uk/id/eprint/256537
ISBN: 3-540-42495-4
PURE UUID: 7bfb9d68-f82b-43cb-badc-946ed9fa0adc

Catalogue record

Date deposited: 30 Apr 2002
Last modified: 18 Jul 2017 09:45

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Contributors

Author: K.S. Thomas
Author: S.J. Cox
Author: D.H. Beckett
Author: B.P. Hiett
Author: J.M. Generowicz
Author: G.J. Daniell
Editor: R Sakellariou
Editor: J. Keane
Editor: J. Gurd
Editor: L. Freeman

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