Authors: Ines Fenni, Ziad S. Haddad, Hélène Roussel, Raj Mittra
Source: FERMAT, Volume 23, Communication 8, Sep.-Oct., 2017
Abstract: The Sherman-Morrison-Woodbury formula-based algorithm is used in this work to enhance the computational performance of the characteristic basis function method (CBFM) when applied in a context of 3D full-wave model to the scattering by complex-geometry precipitation particles. The improvement brought by this algorithm, particularly to the compression rate achieved by the CBFM, enables us to simulate electrically larger particles while maintaining a satisfactory level of accuracy and a reasonable computational cost.
Index Terms: Scattering by hydrometeors, Volume Integral Equation Method (VIEM), Method of Moments (MoM), Characteristic Basis Function Method (CBFM), Sherman-Morrison-Woodbury formula-based algorithm, Adaptive Cross Approximation (ACA), Discrete Dipole Approximation (DDA), DDScat.
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Efficient calculation of CBFs for the modeling of scattering by complex-shaped snow aggregates