On the use of high-frequency asymptotic concepts for the development of efficient adaptive numerical integration algorithms
The possibility of reducing the sampling point density in the numerical evaluation of radiation integrals is discussed by resorting to asymptotic high-frequency technique concepts. It is shown that the numerical evaluation of the radiation integrals becomes computationally more efficient by introduc...
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| Vydáno v: | 2010 URSI International Symposium on Electromagnetic Theory s. 837 - 840 |
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| Hlavní autoři: | , |
| Médium: | Konferenční příspěvek |
| Jazyk: | angličtina |
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IEEE
01.08.2010
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| Abstract | The possibility of reducing the sampling point density in the numerical evaluation of radiation integrals is discussed by resorting to asymptotic high-frequency technique concepts. It is shown that the numerical evaluation of the radiation integrals becomes computationally more efficient by introducing an adaptive sampling. By this approach the number of sampling points results drastically smaller than the standard Nyquist sampling rate. |
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| AbstractList | The possibility of reducing the sampling point density in the numerical evaluation of radiation integrals is discussed by resorting to asymptotic high-frequency technique concepts. It is shown that the numerical evaluation of the radiation integrals becomes computationally more efficient by introducing an adaptive sampling. By this approach the number of sampling points results drastically smaller than the standard Nyquist sampling rate. |
| Author | Carluccio, Giorgio Albani, Matteo |
| Author_xml | – sequence: 1 givenname: Giorgio surname: Carluccio fullname: Carluccio, Giorgio email: giorgio.carluccio@dii.unisi.it organization: Dept. of Inf. Eng., Univ. of Siena, Siena, Italy – sequence: 2 givenname: Matteo surname: Albani fullname: Albani, Matteo email: matteo.albani@dii.unisi.it organization: Dept. of Inf. Eng., Univ. of Siena, Siena, Italy |
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| Title | On the use of high-frequency asymptotic concepts for the development of efficient adaptive numerical integration algorithms |
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