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High-order Nyström implementation of an augmented volume integral equation

Producción científica: Conference contributionrevisión exhaustiva

1 Cita (Scopus)

Resumen

Integral equation methods provide an effective approach for solving electromagnetic radiation and scattering problems. For linear homogeneous materials, surface integral equations are commonly applied. However, for nonlinear, high contrast and/or inhomogeneous materials, volume integral equations (VIEs) often provide a more useful alternative. The locally corrected Nyström (LCN) method provides a scheme for discretizing the VIE formulation. The main advantages of the LCN method over other discretization methods include the ability to easily handle different mesh element types at the same time, and the ability to easily incorporate high-order representations. Moreover, by applying the LCN discretization to the VIE formulation, the material properties can be confined to the diagonal of the system matrix, which significantly reduces the computational costs in cases for which a given geometry with different material properties is of interest. Unfortunately, the regular VIE formulation has a number of limitations. These limitations include poor matrix condition numbers for problems with high contrast materials, and deteriorating performance for problems with complex, multi-scale meshes.

Idioma originalEnglish
Título de la publicación alojada2014 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2014 - Proceedings
Páginas187
Número de páginas1
ISBN (versión digital)9781479937462
DOI
EstadoPublished - nov 12 2014
Evento2014 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2014 - Memphis, United States
Duración: jul 6 2014jul 11 2014

Serie de la publicación

Nombre2014 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2014 - Proceedings

Conference

Conference2014 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2014
País/TerritorioUnited States
CiudadMemphis
Período7/6/147/11/14

Nota bibliográfica

Publisher Copyright:
© 2014 IEEE.

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Electrical and Electronic Engineering

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