@inproceedings{ab3abe1cc9c84c93849c4c6a919c7230,
title = "A Skeletonization accelerated MLFMA for Volume-Surface Integral Equation",
abstract = "To achieve a fast solution of large-scale problems for composite targets, a skeletonization based method for accelerating the MFLMA solution of volume-surface integral equation is proposed. The near-field interactions in the four sub-blocks of the impedance matrix are compressed through skeletonization. To speedup the convergence of the iterative solution, an HSS-based block-diagonal preconditioner is also proposed. Numerical experiments are conducted on a frequency selective surface model to investigate the performance of the proposed method.",
author = "Liu Yan-Nan and Pan, {Xiao Min}",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2020 ; Conference date: 07-12-2020 Through 09-12-2020",
year = "2020",
month = dec,
day = "7",
doi = "10.1109/NEMO49486.2020.9343568",
language = "English",
series = "2020 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2020 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2020",
address = "United States",
}