2003
DOI: 10.1109/tap.2003.815425
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Numerical accuracy of multipole expansion for 2-D MLFMA

Abstract: Numerical study of the multipole expansion for the multilevel fast multipole algorithm (MLFMA) is presented. In the numerical implementation of MLFMA, the error comes from three sources: the truncation of the addition theorem; the approximation of the integration; and the aggregation and disaggregation process. These errors are due to the factorization of the Green's function which is the mathematical core of this algorithm. Among the three error sources, we focus on the truncation error in this paper and a ne… Show more

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Cited by 24 publications
(19 citation statements)
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“…This numerical result agrees with our analysis. gives an error asymptotically less than when v is large (this agrees with the results in [18]). …”
Section: A Uniform Estimatesupporting
confidence: 89%
“…This numerical result agrees with our analysis. gives an error asymptotically less than when v is large (this agrees with the results in [18]). …”
Section: A Uniform Estimatesupporting
confidence: 89%
“…A similar approach, based on fine-tuning the coefficient C of another empirical truncation formula with a O((kd) 1/3 ) term replacing the logarithmic term of (9), is reported in [18]. Using either approach, L is roughly proportional to the cell size.…”
Section: Numerical Quadrature Over the Unit Spherementioning
confidence: 99%
“…Therefore, the group size can not be too small in order to meet a specific error criteria. This fact has been defined as the low frequency break down problem for the zero-order Hankel function [25]. For traditional FMM, this problem is not so critical since only zero-order Hankel function is involved and the group size can be as small as half wavelength.…”
Section: Implementation Of the Fma-smmmentioning
confidence: 99%