Adaptive integral method with fast Gaussian gridding for solving combined field integral equations

O. Bakir; H. Baǧci; E. Michielssen

doi:10.1080/17455030802616871

Adaptive integral method with fast Gaussian gridding for solving combined field integral equations

O. Bakir^*, H. Baǧci, E. Michielssen

^*Corresponding author for this work

Computer, Electrical and Mathematical Sciences and Engineering

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

Fast Gaussian gridding (FGG), a recently proposed nonuniform fast Fourier transform algorithm, is used to reduce the memory requirements of the adaptive integral method (AIM) for accelerating the method of moments-based solution of combined field integral equations pertinent to the analysis of scattering from three-dimensional perfect electrically conducting surfaces. Numerical results that demonstrate the efficiency and accuracy of the AIM-FGG hybrid in comparison to an AIM-accelerated solver, which uses moment matching to project surface sources onto an auxiliary grid, are presented.

Original language	English (US)
Pages (from-to)	147-161
Number of pages	15
Journal	Waves in Random and Complex Media
Volume	19
Issue number	1
DOIs	https://doi.org/10.1080/17455030802616871
State	Published - 2009

ASJC Scopus subject areas

General Engineering
General Physics and Astronomy

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title = "Adaptive integral method with fast Gaussian gridding for solving combined field integral equations",

abstract = "Fast Gaussian gridding (FGG), a recently proposed nonuniform fast Fourier transform algorithm, is used to reduce the memory requirements of the adaptive integral method (AIM) for accelerating the method of moments-based solution of combined field integral equations pertinent to the analysis of scattering from three-dimensional perfect electrically conducting surfaces. Numerical results that demonstrate the efficiency and accuracy of the AIM-FGG hybrid in comparison to an AIM-accelerated solver, which uses moment matching to project surface sources onto an auxiliary grid, are presented.",

author = "O. Bakir and H. Baǧci and E. Michielssen",

year = "2009",

doi = "10.1080/17455030802616871",

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T1 - Adaptive integral method with fast Gaussian gridding for solving combined field integral equations

AU - Bakir, O.

AU - Baǧci, H.

AU - Michielssen, E.

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Y1 - 2009

N2 - Fast Gaussian gridding (FGG), a recently proposed nonuniform fast Fourier transform algorithm, is used to reduce the memory requirements of the adaptive integral method (AIM) for accelerating the method of moments-based solution of combined field integral equations pertinent to the analysis of scattering from three-dimensional perfect electrically conducting surfaces. Numerical results that demonstrate the efficiency and accuracy of the AIM-FGG hybrid in comparison to an AIM-accelerated solver, which uses moment matching to project surface sources onto an auxiliary grid, are presented.

AB - Fast Gaussian gridding (FGG), a recently proposed nonuniform fast Fourier transform algorithm, is used to reduce the memory requirements of the adaptive integral method (AIM) for accelerating the method of moments-based solution of combined field integral equations pertinent to the analysis of scattering from three-dimensional perfect electrically conducting surfaces. Numerical results that demonstrate the efficiency and accuracy of the AIM-FGG hybrid in comparison to an AIM-accelerated solver, which uses moment matching to project surface sources onto an auxiliary grid, are presented.

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AN - SCOPUS:60949107788

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JO - Waves in Random and Complex Media

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ER -

Adaptive integral method with fast Gaussian gridding for solving combined field integral equations

Abstract

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