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    Accelerating the CBFM-enhanced jacobi method

    Access Status
    Fulltext not available
    Authors
    Ludick, D.
    Botha, M.
    Maaskant, R.
    Davidson, David
    Date
    2017
    Type
    Conference Paper
    
    Metadata
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    Citation
    Ludick, D. and Botha, M. and Maaskant, R. and Davidson, D. 2017. Accelerating the CBFM-enhanced jacobi method, pp. 346-349.
    Source Title
    Proceedings of the 2017 19th International Conference on Electromagnetics in Advanced Applications, ICEAA 2017
    DOI
    10.1109/ICEAA.2017.8065247
    ISBN
    9781509044511
    School
    Curtin Institute of Radio Astronomy (Engineering)
    URI
    http://hdl.handle.net/20.500.11937/72056
    Collection
    • Curtin Research Publications
    Abstract

    © 2017 IEEE. 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.

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