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Incomplete-Leaf Multilevel Fast Multipole Algorithm for Multiscale Penetrable Objects Formulated With Volume Integral Equations
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Date
2017-09-01
Author
Takrimi, Manouchehr
Ergül, Özgür Salih
ERTÜRK, VAKUR BEHÇET
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Recently introduced incomplete-leaf (IL) tree structures for multilevel fast multipole algorithm (referred to as IL-MLFMA) is proposed for the analysis of multiscale inhomogeneous penetrable objects, in which there are multiple orders of magnitude differences among the mesh sizes. Considering a maximum Schaubert-Wilton-Glisson function population threshold per box, only overcrowded boxes are recursively divided into proper smaller boxes, leading to IL tree structures consisting of variable box sizes. Such an approach: 1) significantly reduces the CPU time for near-field calculations regarding overcrowded boxes, resulting a superior efficiency in comparison with the conventional MLFMA where fixed-size boxes are used and 2) effectively reduces the computational error of the conventional MLFMA for multiscale problems, where the protrusion of the basis/testing functions from their respective boxes dramatically impairs the validity of the addition theorem. Moreover, because IL-MLFMA is able to use deep levels safely and without compromising the accuracy, the memory consumption is significantly reduced compared with that of the conventional MLFMA. Several examples are provided to assess the accuracy and the efficiency of IL-MLFMA for multiscale penetrable objects.
Subject Keywords
Incomplete leaf (IL)
,
Multilevel fast multipole algorithm (MLFMA)
,
Multiscale problems
,
Volume integral equations (VIEs)
URI
https://hdl.handle.net/11511/47999
Journal
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
DOI
https://doi.org/10.1109/tap.2017.2722858
Collections
Department of Electrical and Electronics Engineering, Article
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M. Takrimi, Ö. S. Ergül, and V. B. ERTÜRK, “Incomplete-Leaf Multilevel Fast Multipole Algorithm for Multiscale Penetrable Objects Formulated With Volume Integral Equations,”
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
, pp. 4914–4918, 2017, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/47999.