دورية أكاديمية

Acceleration of Multilevel Characteristic Basis Function Method by Multilevel Multipole Approach.

التفاصيل البيبلوغرافية
العنوان: Acceleration of Multilevel Characteristic Basis Function Method by Multilevel Multipole Approach.
المؤلفون: Park, Chan-Sun1, Hong, Ic-Pyo2, Kim, Yoon-Jae3, Yook, Jong-Gwan1 jgyook@yonsei.ac.kr
المصدر: IEEE Transactions on Antennas & Propagation. Oct2020, Vol. 68 Issue 10, p7109-7120. 12p.
مصطلحات موضوعية: *ALGORITHMS, *MATHEMATICAL models, DEGREES of freedom, MOMENTS method (Statistics), INTEGRAL equations, CHARACTERISTIC functions
مستخلص: Multilevel characteristic basis function (CBF) method (MLCBFM) accelerated by multilevel multipoles will be presented in this article. The proposed algorithm starts from the conventional MLCBFM, rearrange CBFs for each level as multilevel aggregated CBFs. The algorithm not only reduces degrees of freedom of problems but also exploits hierarchical characteristics of divided geometries such as different truncation coefficients or sampling rates in each level of multipole expansions, which results in dramatic acceleration in analyzing electrically large structure. The results of the proposed method agree very well with exact solutions. [ABSTRACT FROM AUTHOR]
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قاعدة البيانات: Business Source Index
الوصف
تدمد:0018926X
DOI:10.1109/TAP.2020.2995421