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Quasi-Block-Cholesky Factorization With Dynamic Matrix Compression for Fast Integral-Equation Simulations of Large-Scale Human Body Models

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1 Author(s)
Shumin Wang ; Dept. of Electr. & Comput. Eng., Auburn Univ., Auburn, AL, USA

In this paper, a fast direct integral-equation method for simulating human models is presented. Based on the mixed symmetric and skew-symmetric pattern of the impedance matrix, a quasi-block-Cholesky (QBC) algorithm was proposed to reduce both the memory and central processing unit (CPU) time for matrix factorization by half. Dynamic matrix compression via single-level adaptive cross approximation (ACA) was further applied to reduce the computational costs. Validity of the QBC method is provided. Numerical examples further demonstrate the practicality of the proposed method.

Published in:

Proceedings of the IEEE  (Volume:101 ,  Issue: 2 )