Using spectral low rank preconditioners for large electromagnetic calculations

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Persistent URL	http://purl.org/net/epubs/work/29794
Record Status	Checked
Record Id	29794
Title	Using spectral low rank preconditioners for large electromagnetic calculations
Contributors	I S Duff, L Giraud, J Langou, E Martin
Abstract	For solving large dense complex linear systems that arise in electromagnetic calculations, we perform experiments using a general purpose spectral low rank update preconditioner in the context of the GMRES method preconditioned by an approximate inverse preconditioner. The goal of the spectral preconditioner is to improve the convergence properties by shifting by one the smallest eigenvalues of the original preconditioned system. Numerical experiments on parallel distributed memory computers are presented to illustrate the efficiency of this technique on large and challenging real-life industrial problems.
Organisation	CCLRC
Keywords
Funding Information
Related Research Object(s):	40484
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Language	English (EN)

Type	Details	URI(s)	Local file(s)	Year
Report	RAL Technical Reports RAL-TR-2003-023. 2003.		raltr-2003023.pdf	2003