Simultaneously improving the efficiency and compression of the adaptive cross approximation algorithm
Document typeConference lecture
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessRestricted access - publisher's policy
This paper proposes an adaptation of the conventional ACA algorithm for block-wise impedance matrix compression, yielding a substantial speed-up as well as a higher compression rate. The recently published stochastic Frobenius norm estimation is complemented with a new approach to allow applying it to blocks that represent touching regions. The stochastic method is then combined with SVD recompression to simultaneously eliminate the stochastic uncertainty and optimize the compression rate.
CitationHeldring, A., Ubeda, E., Rius, J. Simultaneously improving the efficiency and compression of the adaptive cross approximation algorithm. A: International Conference on Electromagnetics in Advanced Applications. "2015 International Conference on Electromagnetics in Advanced Applications (ICEAA 2015): Torino, Italy: 7-11 September 2015". Torino: Institute of Electrical and Electronics Engineers (IEEE), 2015, p. 16-18.