A Computationally Efficient Technique Using Characteristic Basis Functions and Large Block Sizes
A technique for the reduction of the CPU-time in the solution of complex electromagnetic problems using the characteristic basis function method is presented. This approach allows the analysis of electrically large cases iteratively using the multilevel fast multipole method to account for the matri...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2024 |
| País: | España |
| Institución: | Universidad de Alcalá (UAH) |
| Repositorio: | e_Buah Biblioteca Digital Universidad de Alcalá |
| Idioma: | inglés |
| OAI Identifier: | oai:ebuah.uah.es:10017/67860 |
| Acceso en línea: | http://hdl.handle.net/10017/67860 https://dx.doi.org/10.1109/LAWP.2024.3355539 |
| Access Level: | acceso abierto |
| Palabra clave: | Basis functions Electromagnetic analysis Moment methods Sparse matrices. Electrónica Electronics |
| Sumario: | A technique for the reduction of the CPU-time in the solution of complex electromagnetic problems using the characteristic basis function method is presented. This approach allows the analysis of electrically large cases iteratively using the multilevel fast multipole method to account for the matrix-vector products. It defines a new procedure for the fast computation of the characteristic basis functions and the reduced matrix. Some representative test cases show that the approach provides accurate results for complex bodies with a noticeable efficiency improvement. |
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