Abstract: This study presents an implicit unconditionally stable and divergence-preserving alternating-direction-implicit finite-difference time-domain (DP-ADI-FDTD) method for modeling the multi-pole ...
Abstract: Tensor-train (TT) decompositions have the potential to significantly improve the performance of finite-difference time-domain (FDTD) algorithms in terms of CPU time and memory storage. To ...
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