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A Butterfly-Accelerated Volume Integral Equation Solver for Broad Permittivity and Large-Scale Electromagnetic

Sadeed B Sayed1, Yang Liu2, Luis J Gomez3

  • 1School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798.

IEEE Transactions on Antennas and Propagation
|June 20, 2022
PubMed
Summary

A new butterfly-accelerated volume integral equation (VIE) solver offers faster and more accurate electromagnetic (EM) analysis for complex objects. This method significantly reduces computational costs for high-frequency scattering problems.

Keywords:
Butterfly algorithmdirect solverfast solverpreconditionersvolume integral equation

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Area of Science:

  • Electromagnetics and Computational Physics
  • Numerical Methods for Engineering

Background:

  • Electromagnetic (EM) analysis of scattering from heterogeneous objects is computationally intensive.
  • Existing methods often require substantial memory and processing time, especially for large-scale problems.

Purpose of the Study:

  • To develop a fast and accurate volume integral equation (VIE) solver for electromagnetic scattering.
  • To accelerate the analysis of complex, heterogeneous objects using advanced computational techniques.

Main Methods:

  • Proposed a butterfly-accelerated VIE solver utilizing the hierarchical off-diagonal butterfly (HOD-BF) scheme.
  • The HOD-BF scheme is employed for system matrix construction and approximate inverse computation (preconditioner).
  • Analyzed computational complexity and validated through numerical experiments on large-scale structures.

Main Results:

  • Achieved O(N log N) complexity for system matrix construction and preconditioner inversion, where N is the number of unknowns.
  • Demonstrated reduced memory and computational time compared to traditional N^2 matrix solvers.
  • Validated accuracy and efficiency for EM analysis of structures with millions of unknowns and diverse permittivity values.

Conclusions:

  • The butterfly-accelerated VIE solver provides a significant advancement in computational electromagnetics.
  • Offers a memory-efficient and time-saving solution for high-frequency EM scattering problems.
  • Suitable for analyzing large-scale, complex real-world structures.