Malas, TahirErgül, ÖzgürGürel, Levent2016-02-082016-02-082007-11http://hdl.handle.net/11693/26914Date of Conference: 11-16 Nov. 2007Conference name: The Second European Conference on Antennas and Propagation, EuCAP 2007We consider effective preconditioning schemes for the iterative solution of integral-equation methods. For parallel implementations, the sparse approximate inverse or the iterative solution of the near-field system enables fast convergence up to certain problem sizes. However, for very large problems, the near-field matrix itself becomes too crude approximation to the dense system matrix and preconditioners generated from the near-field interactions cannot be effective. Therefore, we propose an approximation strategy to the multilevel fast multipole algorithm (MLFMA) to be used as a preconditioner. Our numerical experiments reveal that this scheme significantly outperforms other preconditioners. With the combined effort of effective preconditioners and an efficiently parallelized MLFMA, we are able to solve targets with tens of millions of unknowns in a few hours.EnglishIntegral equation methodsLarge-scale problemsPreconditioning, electromagnetic scatteringCrude approximationsDense systemsFast convergenceIterative solutionsMatrixMultilevel fast multipole algorithmsNear field interactionsNear-fieldNumerical experimentsParallel implementationsPreconditionersPreconditioning, electromagnetic scatteringProblem sizeSparse approximate inverseAntennasApproximation algorithmsBoundary element methodElectromagnetic wave scatteringIntegral equationsRadar antennasConference Paper10.1049/ic.2007.1166