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Stochastic estimation of the Frobenius norm in the ACA convergence criterion

Autor
Heldring, A.; Ubeda, E.; Rius, J.
Tipus d'activitat
Article en revista
Revista
IEEE transactions on antennas and propagation
Data de publicació
2015-03-01
Volum
63
Número
3
Pàgina inicial
1155
Pàgina final
1159
DOI
https://doi.org/10.1109/TAP.2014.2386306 Obrir en finestra nova
Projecte finançador
Design, simulation and measurement of millimetre wave antennas for comunications and imaging
Sistemas Radiantes en milimétricas y submilimétricas para radar, comunicaciones e imágenes
TEC2012-37582-C04-02 DISPOSITIVOS PASIVOS AVANZADOS PARA CABEZALES MULTIBANDA, MULTIMODO
TEC2013-47360-C3-1-P
Repositori
http://hdl.handle.net/2117/27519 Obrir en finestra nova
URL
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6998920 Obrir en finestra nova
Resum
The adaptive cross approximation (ACA) algorithm has been used in many fast Integral Equation solvers for electromagnetic Radiation and Scattering problems. It efficiently computes a low rank approximation to the interaction matrix between mutually distant parts of a scattering object. The ACA is an iterative algorithm that needs an accurate and efficient convergence criterion. The evaluation of this criterion may consume a considerable part of the computational resources. This communication pre...
Citació
Heldring, A.; Ubeda, E.; Rius, J. Stochastic estimation of the Frobenius norm in the ACA convergence criterion. "IEEE transactions on antennas and propagation", 01 Març 2015, vol. 63, núm. 3, p. 1155-1159.
Paraules clau
ADAPTIVE CROSS APPROXIMATION, ALGORITHM, Adaptive cross approximation (ACA), computational electromagnetics, method of moments
Grup de recerca
ANTENNALAB - Grup d´Antenes i Sistemes Radio

Participants