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摘要
The replacement values to the singularity of fitting Green's function are intensively researched in Fitting Green's function Fast Fourier Transformation (FG-FFT). As is shown in the research, the accuracy of fitting Green's function of near element is affected by different replacement values. The experiments show that an appropriate replacement value can improve the accuracy of fitting Green's function of near element, and it is called the optimal replacement value in this paper. In the case of application of the proposed scheme to FG-FFT, the number of the near correction elements is significantly reduced. Therefore, the optimal replacement scheme can dramatically reduce the memory requirement and computing time in FG-FFT. The experiments show that, compared with traditional random replacement schemes, the optimal replacement scheme can reduce the number of the near correction elements by about 55%similar to 60% and greatly improve the computational efficiency of FG-FFT.
