A strategy is proposed to enhance the performance of some numerical methods used in the solution of electromagnetic problems. The strategy can be extended to any numerical method based on the partitioning of the spatial domain into elementary cells. Two different implementations of the strategy are
A novel flexible GMRES with deflated restarted for efficient solution of electromagnetic problems
β Scribed by X. Q. Hu; D. Z. Ding; R. S. Chen
- Book ID
- 102951978
- Publisher
- John Wiley and Sons
- Year
- 2011
- Tongue
- English
- Weight
- 553 KB
- Volume
- 53
- Category
- Article
- ISSN
- 0895-2477
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β¦ Synopsis
Abstract
To iterative solve large dense complex linear systems arising from electric field integral equations formulation of electromagnetic scattering problems, multilevel fast multipole algorithm (MLFMA) is built to speed up the matrixβvector product (MVP) operations. This article presents a novel flexible generalized minimum residual with deflated restarted (FGMRESβDR), which can greatly improve the convergence of those large dense complex linear systems. Based on physical mechanism of the scattering problems, in inner iteration of FGMRESβDR, an iterative solution of the nearβfield matrix in MLFMA is adopted. In outer iteration, deflation method which is purely algebraic is used to eliminate the influence on convergence because of the smallest eigenvalues. Numerical experiments indicate that FGMRESβDR is very effective and can reduce the number of MVP compared with the FGMRES in largeβscale electromagnetic problems. Β© 2011 Wiley Periodicals, Inc. Microwave Opt Technol Lett 53:1360β1364, 2011; View this article online at wileyonlinelibrary.com. DOI 10.1002/mop.26019
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