## Abstract This article introduces a simple and efficient technique for generating the initial guess for iterative solutions of a large dense system of linear equations arising in the methodโofโmoments (MoM) formulation of electromagnetic (EM) problems. The proposed approach is based on an extrapo
An efficient solution of a dense system of linear equations arising in the method-of-moments formulation
โ Scribed by V. V. S. Prakash; Soon Jae Kwon; Raj Mittra
- Publisher
- John Wiley and Sons
- Year
- 2002
- Tongue
- English
- Weight
- 582 KB
- Volume
- 33
- Category
- Article
- ISSN
- 0895-2477
No coin nor oath required. For personal study only.
โฆ Synopsis
Abstract
This Letter presents a simple and efficient approach for preconditioning a large dense system of linear equations arising in the methodโofโmoments (MoM) solution of electromagnetic (EM) problems. A twoโstep process is presented in which the condition number of the matrix is first improved by equilibration, and then further enhanced by preconditioning. The convergence properties of two frequently used iterative solvers, namely, the conjugateโgradient normal (CGNR) and the generalized minimal residual (GMRES) methods, have been studied with the use of the proposed technique, and the efficacy of the method has been compared with that of the direct LU factorization. The Letter demonstrates that the proposed technique helps improve the computational efficiency of the iterative solvers considerably, not only for MoM matrices associated with electrically large geometries, but also for poorly conditioned matrices with a relatively small rank. ยฉ 2002 Wiley Periodicals, Inc. Microwave Opt Technol Lett 33: 196โ200, 2002; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.10274
๐ SIMILAR VOLUMES
## Abstract This paper illustrates the application of Wynn's vector ฮตโalgorithm to solve a system of equations arising in the method of moments (MoM) solution of an electrostatic problem. Since the method is iterative, it does not require inversion of a matrix. The degree of accuracy of the solutio