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Adaptive spatial decomposition in fast multipole method

โœ Scribed by J.M. Zhang; Masa. Tanaka


Book ID
104021638
Publisher
Elsevier Science
Year
2007
Tongue
English
Weight
623 KB
Volume
226
Category
Article
ISSN
0021-9991

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โœฆ Synopsis


This work presents a new adaptive node-cluster algorithm for fast multipole method. In the algorithm, we use rectangular boxes instead of cubes, subdivide a box based on its shape, and tighten the child boxes at each subdivision step. More importantly, we determine the number of expansion terms in multipole to local translations according to the distance between the two interaction boxes. Our method is tested using benchmark examples for three-dimensional potential problems. The results obtained show that the new algorithm can solve a problem with 100 thousands nodes in about 20 min, and runs nearly three times faster than the standard algorithm. The proposed algorithm is especially suitable for treating slender and shell-like structures.


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We present an adaptive fast multipole method for the Laplace equation in three dimensions. It uses both new compression techniques and diagonal forms for translation operators to achieve high accuracy at a reasonable cost.