2003
DOI: 10.1109/tmag.2003.810167
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Comparison between different approaches for fast and efficient 3-D BEM computations

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Cited by 36 publications
(21 citation statements)
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“…As pointed out before, the number of applications of the translation operators (28) growths and consequently the computational time increases by 22.6%. In the opposite direction, the inner-inner transformation (30) and the recovery of the solution by (23) has to be performed for the original and the mirrored clusters and therefore takes approximately twice as much time. Focusing on the total computational time for a single cycle, the increase is only 19.5%.…”
Section: Remarkmentioning
confidence: 99%
“…As pointed out before, the number of applications of the translation operators (28) growths and consequently the computational time increases by 22.6%. In the opposite direction, the inner-inner transformation (30) and the recovery of the solution by (23) has to be performed for the original and the mirrored clusters and therefore takes approximately twice as much time. Focusing on the total computational time for a single cycle, the increase is only 19.5%.…”
Section: Remarkmentioning
confidence: 99%
“…Many different algorithms for solving the problem exist, e.g. [12,5,6,18,3,15,4,16,1,11]. Direct solutions compute all pair-wise interactions and hence they scale with O N 2 operations, where N denotes the number of interaction partners.…”
Section: Introductionmentioning
confidence: 99%
“…Here, a novel approach is presented, which directly combines fast BEM [7] and visualization. The aim is to provide a method that enables field line computations of problems with complex-shaped surfaces.…”
Section: Introductionmentioning
confidence: 99%