A Tensor Train Compression Scheme for Remote Volume-surface Integral Equation Interactions

2021 International Applied Computational Electromagnetics Society Symposium (ACES)(2021)

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摘要
We propose a memory compression scheme for the coupling matrices appearing in volume-surface integral equation formulations. When there is some distance between the surface and the volumetric scatterers, the low-rank properties of the coupling matrix, allow us to reshape it into a set of four-dimensional tensors, which can be heavily compressed with the tensor train decomposition. The associated m...
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