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Journal of Computational and Applied Mathematics
Article
License: Elsevier Non-Commercial
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Journal of Computational and Applied Mathematics
Article . 2013 . Peer-reviewed
License: Elsevier Non-Commercial
Data sources: Crossref
DBLP
Article . 2013
Data sources: DBLP
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Weakening accuracy dependence with the regularization parameter in the Method of Regularized Stokeslets

Authors: A. Barrero-Gil;

Weakening accuracy dependence with the regularization parameter in the Method of Regularized Stokeslets

Abstract

AbstractIn this paper we present a simple modification of the Method of Regularized Stokeslets, which significantly reduces the dependence of the accuracy on the regularization parameter and achieves accurate solutions with low computational effort. Thanks to the modification introduced, the regularization parameter is no longer a free-tuning parameter. This new approach is based on a special treatment of the near-singular kernel evaluations, where spatially averaged quantities are considered. Numerical tests for both exterior and interior Stokes flows are presented, showing both accurate results and good conditioning of the matrix kernel.

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Keywords

Stokes flow, Regularized Stokeslets

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Top 10%
Average
Average
hybrid