Adaptive spatial resolution for spatial spectral integral equations

Fast formulations for domain integral equations exist for decades. Two popular discretization strategies for them are voxel-grids [1] and Schaubert-Wilton-Glisson-functions (SWGs) [2]. The main advantage of a voxel-grid is that the continuous translation symmetry of the physical problem translates to a discrete translation symmetry in the discretized problem. This allows for a quick computation of the interaction matrix and fast, FFT-based matrix-vector-products. However, voxel-grids do not allow for refinement, and voxels are a somewhat crude approximation to the continuous electromagnetic fields. SWGs do much better at the latter aspect, since they allow for local refinement, and are an order more continuous. But, in general, SWG-discretized objects do not have a discrete translation symmetry, leading to significantly larger computational efforts.

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Published
2024-09-02
DOI
https://doi.org/10.1109/iceaa61917.2024.10701719
Primary Topic
Numerical methods in inverse problems
Type
article
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article

Adaptive spatial resolution for spatial spectral integral equations

Roeland J. Dilz
Numerical methods in inverse problems
article

Adaptive spatial resolution for spatial spectral integral equations

Roeland J. Dilz
article en

Abstract

Fast formulations for domain integral equations exist for decades. Two popular discretization strategies for them are voxel-grids [1] and Schaubert-Wilton-Glisson-functions (SWGs) [2]. The main advantage of a voxel-grid is that the continuous translation symmetry of the physical problem translates to a discrete translation symmetry in the discretized problem. This allows for a quick computation of the interaction matrix and fast, FFT-based matrix-vector-products. However, voxel-grids do not allow for refinement, and voxels are a somewhat crude approximation to the continuous electromagnetic fields. SWGs do much better at the latter aspect, since they allow for local refinement, and are an order more continuous. But, in general, SWG-discretized objects do not have a discrete translation symmetry, leading to significantly larger computational efforts.

Eindhoven University of Technology (NL)
Openalex Percentile: Top 71%
Numerical methods in inverse problems
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