Abstract
The Characteristic Basis Function Method (CBFM)-enhanced Jacobi method has been introduced as an improvement to the standard iterative Jacobi method for finite array analysis. This technique is a domain decomposition approach based on the Method of Moments (MoM) formulation. In some cases, e.g. array environments with a low degree of mutual coupling, the runtime benefit of the CBFM-enhanced Jacobi method is not as significant when compared to that of the Jacobi technique. The reason for this is that additional computational overhead is introduced during each iteration, i.e. setting up and solving the CBFM reduced matrix equation. In this work the adaptive cross approximation (ACA) algorithm is used to accelerate this step in the CBFM-enhanced Jacobi method.
| Original language | English |
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| Title of host publication | Proceedings of the 2017 19th International Conference on Electromagnetics in Advanced Applications, ICEAA 2017 |
| Place of Publication | Piscataway |
| Publisher | Institute of Electrical and Electronics Engineers |
| Pages | 346-349 |
| Number of pages | 4 |
| ISBN (Electronic) | 978-1-5090-4451-1 |
| DOIs | |
| Publication status | Published - 11 Oct 2017 |
| Event | 19th International Conference on Electromagnetics in Advanced Applications (ICEAA 2017) - Verona, Italy Duration: 11 Sept 2017 → 15 Sept 2017 Conference number: 19 http://www.iceaa.net/j3/ |
Conference
| Conference | 19th International Conference on Electromagnetics in Advanced Applications (ICEAA 2017) |
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| Abbreviated title | ICEAA 2017 |
| Country/Territory | Italy |
| City | Verona |
| Period | 11/09/17 → 15/09/17 |
| Internet address |