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pro vyhledávání: '"Francavilla, M.A."'
Autor:
Larsson, E., Zafari, A., Righero, M., Francavilla, M.A., Giordanengo, G., Vipiana, F., Vecchi, G., Kessler, C., Ancourt, C., Grelck, C., Kołodziej, J., González-Vélez, H.
Publikováno v:
High-Performance Modelling and Simulation for Big Data Applications
High-Performance Modelling and Simulation for Big Data Applications, pp.36-68, 2019, 978-3-030-16272-6. ⟨10.1007/978-3-030-16272-6_2⟩
High-Performance Modelling and Simulation for Big Data Applications: Selected Results of the COST Action IC1406 cHiPSet, 36-68
STARTPAGE=36;ENDPAGE=68;TITLE=High-Performance Modelling and Simulation for Big Data Applications
Lecture Notes in Computer Science ISBN: 9783030162719
High-Performance Modelling and Simulation for Big Data Applications, pp.36-68, 2019, 978-3-030-16272-6. ⟨10.1007/978-3-030-16272-6_2⟩
High-Performance Modelling and Simulation for Big Data Applications: Selected Results of the COST Action IC1406 cHiPSet, 36-68
STARTPAGE=36;ENDPAGE=68;TITLE=High-Performance Modelling and Simulation for Big Data Applications
Lecture Notes in Computer Science ISBN: 9783030162719
International audience; Numerical solution methods for electromagnetic scattering problems lead to large systems of equations with millions or even billions of unknown variables. The coefficient matrices are dense, leading to large computational cost
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2010 IEEE Antennas & Propagation Society International Symposium (APSURSI); 2010, p1-4, 4p
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2009 IEEE Antennas & Propagation Society International Symposium; 2009, p1-4, 4p