2015 IEEE International Symposium on Antennas and Propagation &Amp; USNC/URSI National Radio Science Meeting 2015
DOI: 10.1109/aps.2015.7304757
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Minimal-rank &#x210B;<sup>2</sup>-matrix-based iterative and direct volume integral equation solvers for large-scale scattering analysis

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Cited by 4 publications
(13 citation statements)
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“…At each level, the factorization proceeds from the left to the right across all the clusters. This is very different from the algorithm of [9], [11], [14], [15], where a recursive procedure is performed. To help better understand the proposed algorithm, we will use the H 2 -matrix shown in Fig.…”
Section: Proposed Factorization and Inversion Algorithmsmentioning
confidence: 96%
See 4 more Smart Citations
“…At each level, the factorization proceeds from the left to the right across all the clusters. This is very different from the algorithm of [9], [11], [14], [15], where a recursive procedure is performed. To help better understand the proposed algorithm, we will use the H 2 -matrix shown in Fig.…”
Section: Proposed Factorization and Inversion Algorithmsmentioning
confidence: 96%
“…For cluster i, we take all the fill-in blocks associated with its admissible blocks, and use them to update cluster basis V i . These fill-in blocks are shown in (15), which have been generated and stored in the corresponding admissible blocks during the elimination of previous clusters. Let them be F i,j k (k = 1, 2, ..., O(C sp )), where the first subscript denotes the row cluster i, and the second being the column cluster index.…”
Section: Proposed Factorization and Inversion Algorithmsmentioning
confidence: 99%
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