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MiS Preprint

Variable order panel clustering (extended version)

Stefan A. Sauter


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(n2) while, for the classical panel

Sep 20, 1999
Sep 20, 1999

Related publications

2000 Repository Open Access
Stefan A. Sauter

Variable order panel clustering

In: Computing, 64 (2000) 3, pp. 223-261