Numerical Steepest Descent Method for Hankel Type of Hypersingular Oscillatory Integrals in Electromagnetic Scattering Problems
We present a fast and accurate numerical scheme for approximating hypersingular integrals with highly oscillatory Hankel kernels. The main idea is to first change the integration path by Cauchy’s theorem, transform the original integral into an integral on a,+∞, and then use the generalized Gauss La...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
|
| Series: | Advances in Mathematical Physics |
| Online Access: | http://dx.doi.org/10.1155/2021/8021050 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850164212218724352 |
|---|---|
| author | Qinghua Wu Mengjun Sun |
| author_facet | Qinghua Wu Mengjun Sun |
| author_sort | Qinghua Wu |
| collection | DOAJ |
| description | We present a fast and accurate numerical scheme for approximating hypersingular integrals with highly oscillatory Hankel kernels. The main idea is to first change the integration path by Cauchy’s theorem, transform the original integral into an integral on a,+∞, and then use the generalized Gauss Laguerre integral formula to calculate the corresponding integral. This method has the advantages of high-efficiency, fast convergence speed. Numerical examples show the effect of this method. |
| format | Article |
| id | doaj-art-eaa99b65def54d56aaeff23fbf47328f |
| institution | OA Journals |
| issn | 1687-9120 1687-9139 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Mathematical Physics |
| spelling | doaj-art-eaa99b65def54d56aaeff23fbf47328f2025-08-20T02:22:02ZengWileyAdvances in Mathematical Physics1687-91201687-91392021-01-01202110.1155/2021/80210508021050Numerical Steepest Descent Method for Hankel Type of Hypersingular Oscillatory Integrals in Electromagnetic Scattering ProblemsQinghua Wu0Mengjun Sun1Hunan University of Science and Engineering, Yongzhou, 425199 Hunan, ChinaHunan University of Science and Engineering, Yongzhou, 425199 Hunan, ChinaWe present a fast and accurate numerical scheme for approximating hypersingular integrals with highly oscillatory Hankel kernels. The main idea is to first change the integration path by Cauchy’s theorem, transform the original integral into an integral on a,+∞, and then use the generalized Gauss Laguerre integral formula to calculate the corresponding integral. This method has the advantages of high-efficiency, fast convergence speed. Numerical examples show the effect of this method.http://dx.doi.org/10.1155/2021/8021050 |
| spellingShingle | Qinghua Wu Mengjun Sun Numerical Steepest Descent Method for Hankel Type of Hypersingular Oscillatory Integrals in Electromagnetic Scattering Problems Advances in Mathematical Physics |
| title | Numerical Steepest Descent Method for Hankel Type of Hypersingular Oscillatory Integrals in Electromagnetic Scattering Problems |
| title_full | Numerical Steepest Descent Method for Hankel Type of Hypersingular Oscillatory Integrals in Electromagnetic Scattering Problems |
| title_fullStr | Numerical Steepest Descent Method for Hankel Type of Hypersingular Oscillatory Integrals in Electromagnetic Scattering Problems |
| title_full_unstemmed | Numerical Steepest Descent Method for Hankel Type of Hypersingular Oscillatory Integrals in Electromagnetic Scattering Problems |
| title_short | Numerical Steepest Descent Method for Hankel Type of Hypersingular Oscillatory Integrals in Electromagnetic Scattering Problems |
| title_sort | numerical steepest descent method for hankel type of hypersingular oscillatory integrals in electromagnetic scattering problems |
| url | http://dx.doi.org/10.1155/2021/8021050 |
| work_keys_str_mv | AT qinghuawu numericalsteepestdescentmethodforhankeltypeofhypersingularoscillatoryintegralsinelectromagneticscatteringproblems AT mengjunsun numericalsteepestdescentmethodforhankeltypeofhypersingularoscillatoryintegralsinelectromagneticscatteringproblems |