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IEEE Transactions on Antennas and Propagation
Volume 46 Number 8, August 1998
Table of Contents for this issue
Complete paper in PDF format
Numerically Efficient Solution of Dense Linear System of Equations Arising in a Class of Electromagnetic Scattering Problems
Jean-Rene Poirier, Pierre Borderies, R. Mittra, and V. Varadarajan
Page 1169.
Abstract:
In this paper we present an efficient technique for
solving dense complex-symmetric linear system of equations arising in
the method of moments (MoM) formulation. To illustrate the application
of the method, we consider a finite array of scatterers, which gives
rise to a large number of unknowns. The solution procedure utilizes
preconditioned transpose-free QMR (PTFQMR) iterations and computes the
matrix-vector products by employing a compressed impedance matrix.
The compression is achieved by reduced-rank representation of the
off-diagonal blocks, based on a partial-QR decomposition, which is
followed by an iterative refinement. Both the preconditioning and the
compression steps take advantage of the block structure of the matrix.
The convergence of the iterative procedure is investigated and the
performance of the proposed algorithm is compared to that achieved by
other schemes. The effectiveness of the preconditioner and the degree of
matrix compression are quantified. Finite arrays of variable shape and
sizes are considered, and it is demonstrated that the ability to solve
large problems using this technique enables one to evaluate the edge
effects in the finite array. Such array is basically flat and periodic,
but the algorithm is still efficient when variation with strict
periodicity or flatness exists.
References
-
R. W. Freund, "A transpose-free quasiminimal residual
algorithm for non-Hermitian linear systems," SIAM
J. Sci. Comput., vol. J4, pp. 470-482,
1993.
-
V. Varadarajan and R. Mittra, "Numerically efficient solution
of dense linear system arising in electromagnetic scattering
problems," in Workshop Approx. Numer. Methods
Solution Maxwell Equations Proc., Oxford, U.K., Mar.
1995.
-
S. M. Rao, D. R. Wilton, and A. W. Glisson "Electromagnetic
scattering by surfaces of arbitrary shape," IEEE
Trans. Antennas Propagat., vol. AP-30, pp.
409-418, May 1982.
-
G. H. Golub and C. F. Van Loan, Matrix
Computations, 2nd ed.Baltimore, MD: Johns
Hopkins Univ. Press, 1989.
-
D. G. Luenberger, Introduction to Linear and
Nonlinear Programming.New York:
Addison-Wesley, 1973.
-
Y. Saad, Iterative Methods for Sparse Linear
Systems.Boston, MA: PWS, 1996.
-
Y. Saad and M. H. Schultz, "EGMRES: A generalized minimal
residual algorithm for solving nonsymetric linear systems,"
SIAM J. Stat. Comput., vol. 7, no. 3,
July 1986.
-
R. W. Freund, "Conjugate gradient-type methods for linear
systems with complex symmetric linear systems,"
SIAM J. Stat. Comput., vol. 13, no.
1, Jan. 1992.
-
P. G. Ciarlet, "Introduction a` l'analyze
numerique matricielle et a` l'optimization,"
Masson, Oct. 1990.
-
R. Coifman, V. Rokhlin, and S. Wandzura, "The fast multipole
method for the wave equation: A pedestrian description,"
IEEE Antennas Propagat. Mag., vol.
35, June 1993.
-
J. Song, C. Lu, and W. C. Chew, "Multilevel fast multipole
algorithm for electromagnetic scattering by large complex
objects," IEEE Trans. Antennas
Propagat., vol. 45, pp. 1488-1493, Oct.
1997.