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Effective preconditioners for large integral-equation problems
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Date
2007-11-16
Author
Malas, T.
Ergül, Özgür Salih
Gürel, L.
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This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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We consider effective preconditioning schemes for the iterative solution of integral-equation methods. For parallel implementations, the sparse approximate inverse or the iterative solution of the near-field system enables fast convergence up to certain problem sizes. However, for very large problems, the near-field matrix itself becomes too crude approximation to the dense system matrix and preconditioners generated from the near-field interactions cannot be effective. Therefore, we propose an approximation strategy to the multilevel fast multipole algorithm (MLFMA) to be used as a preconditioner. Our numerical experiments reveal that this scheme significantly outperforms other preconditioners. With the combined effort of effective preconditioners and an efficiently parallelized MLFMA, we are able to solve targets with tens of millions of unknowns in a few hours.
Subject Keywords
Preconditioning
,
Electromagnetic scattering
,
Integral equation methods
,
Multilevel fast multipole algorithm
,
Large-scale problems
URI
https://hdl.handle.net/11511/48879
DOI
https://doi.org/10.1049/ic.2007.1166
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar