Improving the Performance of the Multilevel Matrix Decomposition Algorithm for 2.5-D Structures. Application to metamaterials

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2006Publisher:IEEEJournal:2006 IEEE Antennas and Propagation Society International Symposium

Authors: J. Parron; G. Junkin; J.M. Rius;

doi: 10.1109/aps.2006.1711223

Improving the Performance of the Multilevel Matrix Decomposition Algorithm for 2.5-D Structures. Application to metamaterials

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Abstract

This paper presents an optimization of the multilevel matrix decomposition algorithm (MLMDA) that allows the efficient analysis of 2.5-D structures. This tool could be useful in the analysis of planar multilayer metamaterials (MM). Comparing its performance against the multilevel fast multiple algorithm (MLFMA) it was shown that MLMDA 2.5-D requires less computation time and provides better precision. Future work on the algorithm will be directed to take advantage of the periodicity present in MM

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Autonomous University of Barcelona
Spain

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