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Persistent URL http://purl.org/net/epubs/work/29794
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Record Id 29794
Title Using spectral low rank preconditioners for large electromagnetic calculations
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
Funding Information
Related Research Object(s): 40484
Language English (EN)
Type Details URI(s) Local file(s) Year
Report RAL Technical Reports RAL-TR-2003-023. 2003. raltr-2003023.pdf 2003
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