@Article{CiCP-22-2, author = {}, title = {Precorrected-FFT Accelerated Singular Boundary Method for Large-Scale Three-Dimensional Potential Problems}, journal = {Communications in Computational Physics}, year = {2017}, volume = {22}, number = {2}, pages = {460--472}, abstract = {

This study makes the first attempt to accelerate the singular boundary method (SBM) by the precorrected-FFT (PFFT) for large-scale three-dimensional potential problems. The SBM with the GMRES solver requires $\mathcal{O}$($N^2$) computational complexity, where N is the number of the unknowns. To speed up the SBM, the PFFT is employed to accelerate the SBM matrix-vector multiplication at each iteration step of the GMRES. Consequently, the computational complexity can be reduced to $\mathcal{O}$($N$log$N$). Several numerical examples are presented to validate the developed PFFT accelerated SBM (PFFT-SBM) scheme, and the results are compared with those of the SBM without the PFFT and the analytical solutions. It is clearly found that the present PFFT-SBM is very efficient and suitable for 3D large-scale potential problems.

}, issn = {1991-7120}, doi = {https://doi.org/10.4208/cicp.OA-2016-0075}, url = {https://global-sci.com/article/80147/precorrected-fft-accelerated-singular-boundary-method-for-large-scale-three-dimensional-potential-problems} }