Acceleration of the Multi-Level Fast Multipole Algorithm Using K-Means Clustering

The multilevel fast multipole algorithm (MLFMA) using K-means clustering to accelerate electromagnetic scattering analysis for large complex targets is presented. By replacing the regular cube grouping with the K-means clustering, the addition theorem is more accurately approximated. The convergence...

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Bibliographic Details
Main Authors: Dal-jae Yun, Haewon Jung, Hoon Kang, Woo-Yong Yang, Dong-Wook Seo
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/9/11/1926