Sparsified multilevel adaptive cross approximation
Antennas and Propagation(2014)
摘要
In this paper, a sparsified multilevel adaptive cross approximation (SMLACA) is proposed to improve the sparsified adaptive cross approximation (SPACA). Compared with the SPACA, the SMLACA can save the CPU time and memory requirement for large targets. Numerical results are presented to validate the SMLACA and demonstrate its merits.
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关键词
integrated memory circuits,method of moments,microprocessor chips,cpu,smlaca,spaca,memory,sparsified adaptive cross approximation,sparsified multilevel adaptive cross approximation,method of moments (mom),sparsified multilevel adaptive cross approximation (smlaca),sparse matrices,antennas,approximation algorithms
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