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This paper presents a fast solution of electromagnetic scattering from perfect electric conductors by using a sparfled adaptive cross approximation-multilevel fast adaptive cross approximation (SPACA-MLFACA) algorithm. In the new method, the conventional SPACA and MLFACA is used to deal with the interactions between well-separated blocks with relative small and large size, respectively. As a result,...
Volume integral equation (VIE) is accelerated by an efficient method as the dense impedance matrix of the method of moment (MoM) is rank-deficient. After dividing all Schaubert-Wilton-Glisson (SWG) basis functions into blocks, the sparsified adaptive cross approximation (SPACA) combined with the fast adaptive sampling (FACS) is used to compress the impedance matrix of far-block pairs. With the method,...
A fast adaptive cross-sampling (FACS) scheme for the sparsified adaptive cross approximation (SPACA) algorithm is proposed to improve the conventional uniform spatial sampling. The FACS adaptively samples each well-separated block pair in an iterative manner to reach a given sampling error. At each iteration, the FACS first selects a set of initial samples with uniform spatial distribution for each...
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