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Sauter, S (2000). Variable order panel clustering. Computing, 64(3):223-261.

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We present a new version of the panel clustering method for a sparse representation of boundary integral equations. Instead of applying the algorithm separately for each matrix row (as in the classical version of the algorithm) we employ more general block partitionings. Furthermore, a variable order of approximation is used depending on the size of blocks.
We apply this algorithm to a second kind Fredholm integral equation and show that the complexity of the method only depends linearly on the number, say n, of unknowns. The complexity of the classical matrix oriented approach is O(n 2) while, for the classical panel clustering algorithm, it is O(nlog7 n).

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Mathematics
DDC:510 Mathematics
Uncontrolled Keywords:Panel clustering method, variable order approximation, boundary integral equations.
Deposited On:29 Nov 2010 16:27
Last Modified:27 Nov 2013 17:17
Publisher DOI:10.1007/s006070050045
Related URLs:http://www.ams.org/mathscinet-getitem?mr=1767055
Citations:Web of Science®. Times Cited: 38
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Scopus®. Citation Count: 40

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