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Group-based Compression of an FMM for Smooth Kernels

Producción científica: Conference contributionrevisión exhaustiva

Resumen

The fast multipole method (FMM) representation of matrices obtained by sampling smooth translationally invariant kernels can be compressed using a level-dependent iterative procedure. Here 'level' is used to refer to a level of an underlying octree. In this presentation it is shown that additional compression is obtained if the level-based compression is subsequently applied to each octree group at each level. The additional compression is most significant for geometric configurations characterized by a non-uniform distribution of the underlying degrees of freedom (DOF). The compressed FMM representation retains translational invariance and there is no increase in the total number of translators.

Idioma originalEnglish
Título de la publicación alojada2024 International Applied Computational Electromagnetics Society Symposium, ACES 2024
ISBN (versión digital)9781733509671
EstadoPublished - 2024
Evento2024 International Applied Computational Electromagnetics Society Symposium, ACES 2024 - Orlando, United States
Duración: may 19 2024may 22 2024

Serie de la publicación

Nombre2024 International Applied Computational Electromagnetics Society Symposium, ACES 2024

Conference

Conference2024 International Applied Computational Electromagnetics Society Symposium, ACES 2024
País/TerritorioUnited States
CiudadOrlando
Período5/19/245/22/24

Nota bibliográfica

Publisher Copyright:
© 2024 The Applied Computational Electromagnetics Society.

Financiación

This work was supported in part by Office of Naval Research Grants N00014-16-1-3066 and N00014-21-1-2599.

FinanciadoresNúmero del financiador
Office of Naval Research Naval AcademyN00014-16-1-3066, N00014-21-1-2599
Office of Naval Research Naval Academy

    ASJC Scopus subject areas

    • Computational Mathematics
    • Mathematical Physics
    • Instrumentation
    • Radiation

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