Journal article
Adaptive Integral Method for Higher Order Method of Moments
The adaptive integral method (AIM) is combined with the higher order method of moments (MoM) to solve integral equations. The technique takes advantage of the low computational complexity and memory requirements of the AIM and the reduced number of unknowns and higher order convergence of higher order basis functions.
The classical AIM is appropriately modified to allow larger discretization elements and, consequently, higher basis function expansion orders. Numerical examples based on the higher order hierarchical Legendre basis functions show the advantages of the proposed technique over the classical AIM based on low-order basis functions in terms of memory and computational time.
| Language: | English |
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| Publisher: | IEEE |
| Year: | 2008 |
| Pages: | 2298-2305 |
| ISSN: | 15582221 and 0018926x |
| Types: | Journal article |
| DOI: | 10.1109/TAP.2008.926759 |
| ORCIDs: | Kim, Oleksiy S. |
Acceleration Adaptive integral method (AIM) Computational complexity Convergence Electromagnetic scattering Integral equations Legendre polynomials Message-oriented middleware Moment methods Polynomials adaptive integral method computational complexity electromagnetic wave scattering hierarchical Legendre basis functions higher basis function expansion orders higher order basis functions higher order hierarchical Legendre basis functions higher order method of moments integral equations memory requirements method of moments (MoM) scattering
