In this work, we combine conventional boundary element method (BEM) with the reduced-basis method (RBM) and propose a reduced-basis boundary element method (RB-BEM) to realize efficient modeling for parameterized electromagnetic scattering problems of dielectric scatterers. The RB-BEM allows for splitting the modeling process into a parameter-independent offline part and parameter-dependent online part, and replacing the high-dimensional original model obtained by conventional BEM with a low-dimensional reduced-basis model to improve computational efficiency of the online part. We also propose an improved greedy algorithm based on multi-grid to improve the computational efficiency of the offline part. The numerical experiments indicate that the efficiency of the improved greedy algorithm is several times higher than that of the standard one, and the solving efficiency of the reduced-basis model is several times to dozens of times higher than that of the original model with a prescribed approximation accuracy. (C) 2017 Optical Society of America
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Hong Kong Univ Sci & Technol, Dept Mech & Aerosp Engn, Kowloon, Peoples R ChinaHong Kong Univ Sci & Technol, Dept Mech & Aerosp Engn, Kowloon, Peoples R China
Jiang, Hanbo
Zhang, Xin
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Hong Kong Univ Sci & Technol, Dept Mech & Aerosp Engn, Kowloon, Peoples R ChinaHong Kong Univ Sci & Technol, Dept Mech & Aerosp Engn, Kowloon, Peoples R China
Zhang, Xin
Huang, Xun
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Hong Kong Univ Sci & Technol, Dept Mech & Aerosp Engn, Kowloon, Peoples R China
Peking Univ, Coll Engn, Dept Aeronaut & Astronaut, State Key Lab Turbulence & Complex Syst, Beijing 100871, Peoples R ChinaHong Kong Univ Sci & Technol, Dept Mech & Aerosp Engn, Kowloon, Peoples R China
机构:
Microdata Telecom Innovat Stockholm, Filter Res & Dev Dept, S-18740 Stockholm, SwedenMicrodata Telecom Innovat Stockholm, Filter Res & Dev Dept, S-18740 Stockholm, Sweden
Monje-Real, Alberto
de la Rubia, Valentin
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Univ Politecn Madrid, ETSI Telecomunicac, Dept Matemat Aplicada TIC, Madrid 28040, SpainMicrodata Telecom Innovat Stockholm, Filter Res & Dev Dept, S-18740 Stockholm, Sweden
机构:
Univ Franche Comte, Math Lab, CNRS, UMR 6623, F-25030 Besancon, FranceUniv Extremadura, Dept Tecnol Computadores & Comunicac, Escuela Politecn Caceres, Caceres 10071, Spain
Razafison, Ulrich
Maday, Yvon
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Univ Paris 06, Lab Jacques Louis Lions, F-75005 Paris, France
Brown Univ, Div Appl Math, Providence, RI 02912 USAUniv Extremadura, Dept Tecnol Computadores & Comunicac, Escuela Politecn Caceres, Caceres 10071, Spain