Time domain adaptive integral method for the combined field integral equation

@article{Yilmaz2003TimeDA,
  title={Time domain adaptive integral method for the combined field integral equation},
  author={A. Egemai Yilmaz and Jian-Ming Jin and Eric Michielssen},
  journal={IEEE Antennas and Propagation Society International Symposium. Digest. Held in conjunction with: USNC/CNC/URSI North American Radio Sci. Meeting (Cat. No.03CH37450)},
  year={2003},
  volume={3},
  pages={543-546 vol.3}
}
The time domain adaptive integral method is used to accelerate the process of solving a combined field integral equation (CFIE). To evaluate the magnetic field contribution to the CFIE, the vector potential is computed on an auxiliary mesh and spatial finite differences are used to evaluate its curl. Simulation results demonstrate the accuracy and efficiency of this approach. 

From This Paper

Figures, tables, and topics from this paper.

Explore Further: Topics Discussed in This Paper

References

Publications referenced by this paper.
Showing 1-8 of 8 references

Matching criteria and the accuracy of time domain adaptive integral method

A. E. Yilmaz, J. M. Jin
IEEE APS Symp . Digest • 2003

A - parallel framework for FFTaccelerated timemarching algorithms

S. Q. Li, J. M. Jin, E. Michielssen
URSI Digesf • 2002

A hierachical FFT algorithm for the fast analysis of transient electromagnetic scattering phenomena,

D.A.E. Yilmaz
IEEE Trans. Antennas Propagat., • 2002

A new fast time domain integral equation solution algorithm

IEEE Antennas and Propagation Society International Symposium. 2001 Digest. Held in conjunction with: USNC/URSI National Radio Science Meeting (Cat. No.01CH37229) • 2001

Analysis of transient electromagnetic scattering from closed surfaces using a combined field integral equation

A. A. Ergin, E. Michielssen
IEEE Trans . Antennas Propagat . • 2000

AIM : Adaptive integral method for solving large - scale electromagnetic scattering and radiation problems

E. Bleszynski, M. Bleszynski, T. Jaroszewicz
Radio Science • 1996

Similar Papers

Loading similar papers…