Abstract
Relaxation schemes based on an approximate and incomplete factorization technique (AF) are described. These AF schemes allow one to construct a fast multigrid method for solving integral equations of the second as well as of the first kind. Novel items are the smoothing factors found for integral equations of the first kind and the comparison with similar results for equations of the second kind. Application of the MG algorithm shows convergence of a second-order accurate panel method to the level of the truncation error within two multigrid cycles.
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