On the compression of translation operator tensors in FMM-FFT-accelerated SIE simulators via tensor decompositions

• Main Authors: Qian, Cheng, Yucel, Abdulkadir C.
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Electrical and electronic engineering; Tensors; Memory Management
• Online Access: https://hdl.handle.net/10356/159775
• Institution: Nanyang Technological University

Tensor decomposition methodologies are proposed to reduce the memory requirement of translation operator tensors arising in the fast multipole method-fast Fourier transform (FMM-FFT)-accelerated surface integral equation (SIE) simulators. These methodologies leverage Tucker, hierarchical Tucker...