Application of the preconditioned conjugate-gradient algorithm to the mixed potential integral equation

K. F. Tsang; Mo Lei; R. S. Chen

doi:10.1109/APS.2002.1017063

Application of the preconditioned conjugate-gradient algorithm to the mixed potential integral equation

K. F. Tsang
, Mo Lei
, R. S. Chen

Department of Electrical Engineering

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

1 Citation (Scopus)

Abstract

The banded diagonal matrix preconditioned conjugate gradient (CG) technique and the symmetric successive overrelaxation (SSOR) precondition CG technique are introduced to a dense matrix equation from the mixed potential integral equation (MPIE) to further enhance the computational efficiency of this method. The numerical results demonstrate that the two PCG algorithms converge to an accurate solution much faster than the conventional one.

Original language	English
Pages (from-to)	630-633
Journal	IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)
Volume	4
DOIs	https://doi.org/10.1109/APS.2002.1017063
Publication status	Published - 2002
Event	2002 IEEE Antennas and Propagation Society International Symposium - San Antonio, TX, United States Duration: 16 Jun 2002 → 21 Jun 2002

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title = "Application of the preconditioned conjugate-gradient algorithm to the mixed potential integral equation",

abstract = "The banded diagonal matrix preconditioned conjugate gradient (CG) technique and the symmetric successive overrelaxation (SSOR) precondition CG technique are introduced to a dense matrix equation from the mixed potential integral equation (MPIE) to further enhance the computational efficiency of this method. The numerical results demonstrate that the two PCG algorithms converge to an accurate solution much faster than the conventional one.",

author = "Tsang, \{K. F.\} and Mo Lei and Chen, \{R. S.\}",

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AU - Tsang, K. F.

AU - Lei, Mo

AU - Chen, R. S.

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Y1 - 2002

N2 - The banded diagonal matrix preconditioned conjugate gradient (CG) technique and the symmetric successive overrelaxation (SSOR) precondition CG technique are introduced to a dense matrix equation from the mixed potential integral equation (MPIE) to further enhance the computational efficiency of this method. The numerical results demonstrate that the two PCG algorithms converge to an accurate solution much faster than the conventional one.

AB - The banded diagonal matrix preconditioned conjugate gradient (CG) technique and the symmetric successive overrelaxation (SSOR) precondition CG technique are introduced to a dense matrix equation from the mixed potential integral equation (MPIE) to further enhance the computational efficiency of this method. The numerical results demonstrate that the two PCG algorithms converge to an accurate solution much faster than the conventional one.

UR - https://www.scopus.com/pages/publications/0036071097

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U2 - 10.1109/APS.2002.1017063

DO - 10.1109/APS.2002.1017063

M3 - RGC 21 - Publication in refereed journal

SN - 0272-4693

VL - 4

SP - 630

EP - 633

JO - IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)

JF - IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)

T2 - 2002 IEEE Antennas and Propagation Society International Symposium

Y2 - 16 June 2002 through 21 June 2002

ER -

Application of the preconditioned conjugate-gradient algorithm to the mixed potential integral equation

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