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This paper presents a novel kernel independent FMM, which leads to diagonal multipole-to-local operators. The result is a significant reduction in the ...
Abstract. The fast multipole method (FMM) is a technique allowing the fast calculation of long-range interactions between N points in O(N) or O(N log N) ...
This paper presents a novel kernel independent FMM, which leads to diagonal multipole-to-local operators, which allows changing the definition of the kernel ...
This paper presents a novel kernel independent FMM, which leads to diagonal multipoleto- local operators. The result is a significant reduction in the ...
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Jan 1, 2014 · This paper presents a novel kernel independent FMM, which leads to diagonal multipole-to-local operators. The result is a significant reduction ...
PDF | The fast multipole method (FMM) is a technique allowing the fast calculation of long-range interactions between N points in O(N) or O(NlnN) steps.
This paper presents a novel kernel independent FMM, which leads to diagonal multipole-to-local operators and results in a significant reduction in the ...
The method we are proposing is based on Cauchy's integral formula for analytic functions. This is the class of kernels that is covered by this new scheme.
We propose the Fast Kernel Transform (FKT), a general algorithm to compute matrix-vector multi- plications (MVMs) for datasets in moderate dimensions with ...
Jun 8, 2021 · We've presented the Fast Kernel Transform, a general method for the automatic computation of ... A kernel independent fast multipole algorithm ...