Accelerating the CBFM-enhanced Jacobi method

D. Ludick, M. Botha, R. Maaskant, D. Davidson

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review


The Characteristic Basis Function Method (CBFM)-enhanced Jacobi method has been introduced as an improvement to the standard iterative Jacobi method for finite array analysis. This technique is a domain decomposition approach based on the Method of Moments (MoM) formulation. In some cases, e.g. array environments with a low degree of mutual coupling, the runtime benefit of the CBFM-enhanced Jacobi method is not as significant when compared to that of the Jacobi technique. The reason for this is that additional computational overhead is introduced during each iteration, i.e. setting up and solving the CBFM reduced matrix equation. In this work the adaptive cross approximation (ACA) algorithm is used to accelerate this step in the CBFM-enhanced Jacobi method.
Originele taal-2Engels
TitelProceedings of the 2017 19th International Conference on Electromagnetics in Advanced Applications, ICEAA 2017
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Aantal pagina's4
ISBN van elektronische versie978-1-5090-4451-1
StatusGepubliceerd - 11 okt 2017
EvenementInternational Conference on Electromagnetics in Advanced Applications 2017 - Verona, Italië
Duur: 11 sep 201715 sep 2017
Congresnummer: 19


CongresInternational Conference on Electromagnetics in Advanced Applications 2017
Verkorte titelICEAA 2017
Internet adres

Vingerafdruk Duik in de onderzoeksthema's van 'Accelerating the CBFM-enhanced Jacobi method'. Samen vormen ze een unieke vingerafdruk.

Citeer dit