Title :
Preconditioned GMRES on a 3D MOM code
Author_Institution :
Boeing Space & Defense Group, Seattle, WA, USA
Abstract :
We present the convergence history of preconditioned GMRES (generalized minimum residual) applied to a 3D moment method (MOM) code. GMRES is an iterative method for general unsymmetric systems of linear equations. It can be considered as a generalization of the conjugate gradient (CG) method which only applies to symmetric positive definite linear systems. If GMRES is applied to the impedance matrix equation ZJ=V/sub 1/, the method will converge in one iteration if Z were an identity matrix. Unfortunately, the matrix Z is never an identity matrix and is often not well-conditioned. Our goal is to have GMRES solve a linear system of equations with the coefficient matrix ´close´ to an identity matrix.
Keywords :
conjugate gradient methods; convergence of numerical methods; electric impedance; matrix algebra; method of moments; 3D MOM code; coefficient matrix; conjugate gradient method; convergence history; general unsymmetric systems; generalized minimum residual; identity matrix; impedance matrix equation; iterative method; linear equations; preconditioned GMRES; symmetric positive definite linear systems; Character generation; Convergence; Equations; History; Impedance; Iterative methods; Linear systems; Message-oriented middleware; Moment methods; Symmetric matrices;
Conference_Titel :
Antennas and Propagation Society International Symposium, 1994. AP-S. Digest
Conference_Location :
Seattle, WA, USA
Print_ISBN :
0-7803-2009-3
DOI :
10.1109/APS.1994.408052