IEEE Antennas and Propagation Society International Symposium (IEEE Cat. No.02CH37313)
DOI: 10.1109/aps.2002.1016723
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A higher-order multilevel fast multipole algorithm for scattering from mixed conducting/dielectric bodies

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Cited by 15 publications
(26 citation statements)
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“…In order to extend the practical applicability of SIE-MoM to larger structures, considerable efforts have been made towards the development of fast, efficient algorithms that can reduce the high costs of MoM in terms of both storage and computer processing time. Specifically, we single out the fast multipole method (FMM) [54] and its variants, the multilevel fast multipole algorithm (MLFMA) [27,28], and the MLFMA combined with the fast Fourier transform (FFT) [30][31][32]. Based on Gegenbauer's addition theorem for the homogeneous Green function, the FMM reduces the computational cost to O(N 3/2 ), whereas its multilevel version achieves O(N log N ) by incorporating plain and adjoint interpolation schemes for the fields.…”
Section: Acceleration Techniquesmentioning
confidence: 99%
See 1 more Smart Citation
“…In order to extend the practical applicability of SIE-MoM to larger structures, considerable efforts have been made towards the development of fast, efficient algorithms that can reduce the high costs of MoM in terms of both storage and computer processing time. Specifically, we single out the fast multipole method (FMM) [54] and its variants, the multilevel fast multipole algorithm (MLFMA) [27,28], and the MLFMA combined with the fast Fourier transform (FFT) [30][31][32]. Based on Gegenbauer's addition theorem for the homogeneous Green function, the FMM reduces the computational cost to O(N 3/2 ), whereas its multilevel version achieves O(N log N ) by incorporating plain and adjoint interpolation schemes for the fields.…”
Section: Acceleration Techniquesmentioning
confidence: 99%
“…In this paper, we present a deep review of the effort we have made over the last years extending the SIE-MoM [21,[24][25][26] combined with the most recent advances in spectral acceleration techniques, based on the multilevel fast multipole algorithm (MLFMA) [27][28][29] and the fast Fourier transform (FFT) [30][31][32], for the simulation of realistic large-scale plasmonic systems. This methodology was applied for the solution of problems such as the design of nanoantennas [33,34] and optical wireless interconnects [35].…”
Section: Introductionmentioning
confidence: 99%
“…The method of moments (MoM) [5,6], the finite difference time domain (FDTD) approach [7,8] and T-matrix method [9], etc., have been developed to solve EM scattering by complex bodies consisting of the bi-isotropic media. When the BI objects are homogeneous or piecewise homogeneous, MoM is preferred because it limits the discretization of the unknown quantities to the surfaces of the objects and the discontinuous interfaces between different materials [10][11][12][13]. Despite this, the computational requirements for MoM solution of this type of problems are still very high.…”
Section: Introductionmentioning
confidence: 99%
“…It is more interested these years both in frequency [3][4][5][6][7][8] and time domains [9], especially for complex radar targets in real time. When the dielectric objects are homogenous or piecewise homogenous, on the bases of the equivalent principle, the method of moments (MoM) is preferred because the problem can be formulated in the terms of surface integrals over the conducting and dielectric surfaces at a few number of unknowns.…”
Section: Introductionmentioning
confidence: 99%
“…However, the MoM usually results in a matrix of very large scale when applied to analyzing electrically large objects. Some fast algorithms, such as the multilevel fast multipole algorithm [3,4], precorrected-FFT algorithm [5], and adaptive integral method [6,7], are popularly employed to accelerate the matrix-vector manipulation. Otherwise, higher-order MoM (HO-MoM) can significantly reduce the number of unknowns, provide great flexibility and need less memory [10].…”
Section: Introductionmentioning
confidence: 99%