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Binormalized factorizations for magnetostatic integral equations

Producción científica: Conference contributionrevisión exhaustiva

Resumen

Localization-based sparse direct solvers provide a general framework for preconditioning sparse representations of integral equation formulations of magnetostatic field problems. However, problems involving complex meshes and geometries often lead to poorly conditioned system matrices. In some cases, localization-based preconditioners fail to yield convergent iterative solutions for these matrices. In this presentation it is shown that incorporating a multilevel matrix binormalization significantly increases the effectiveness of localization-based preconditioners.

Idioma originalEnglish
Título de la publicación alojada2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 - Proceedings
Páginas1669-1670
Número de páginas2
ISBN (versión digital)9781728106922
DOI
EstadoPublished - jul 2019
Evento2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 - Atlanta, United States
Duración: jul 7 2019jul 12 2019

Serie de la publicación

Nombre2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 - Proceedings

Conference

Conference2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019
País/TerritorioUnited States
CiudadAtlanta
Período7/7/197/12/19

Nota bibliográfica

Publisher Copyright:
© 2019 IEEE.

Financiación

This work was supported in part by the Office of Naval Research under Grant N00014-16-1-3066.

FinanciadoresNúmero del financiador
Office of Naval ResearchN00014-16-1-3066

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Signal Processing
    • Instrumentation

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