IEEE Transactions on Antennas and Propagation · 2018 · 14 citations · 23 references
ComputingComputer ScienceMathematicsComputational ElectromagneticsFinite Element AnalysisOptimizationMatrix ComputationNumerical AnalysisScattering AnalysisScattering ProblemsScattering TheoryBlock Size DeterminationBlock Size OptimizationBlock Size SelectionCharacteristic Basis FunctionsElectromagnetic Inverse ScatteringElectromagnetic ScatteringElectromagnetic Wave ScatteringScattering Matrix
The characteristic basis function method (CBFM) was developed as an algorithm to accelerate the analysis based on direct matrix solver. In CBFM, the optimum block size greatly influences the overall analysis time. In this paper, we propose a guideline for setting the optimal block size that can be applied to every algorithm based on CBFM. Rough estimation of the optimal block size is L <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">B</sub> <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">rough</sup> ≈ 0.05N <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">6/29</sup> , and the exact optimal block size can be determined through preprocessing based on rough estimation. Numerical results of electromagnetic scattering problems are shown to demonstrate the performance of the proposed method.
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A fast algorithm for particle simulations
Leslie Greengard, Vladimir Rokhlin · Journal of Computational Physics · 1987 · 4.9K citations