Block size optimization of CBFM for scattering problems

Chan Sun Park; Yi Ru Jeong; Ic Pyo Hong; Jong Gwan Yook

doi:10.1109/TAP.2018.2860047

Block size optimization of CBFM for scattering problems

Chan Sun Park, Yi Ru Jeong, Ic Pyo Hong, Jong Gwan Yook

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Abstract

The characteristic basis function method (CBFM) was developed as an algorithm to accelerate the analysis based on direct matrix solver. In CBFM, the optimum block size greatly influences the overall analysis time. In this paper, we propose a guideline for setting the optimal block size that can be applied to every algorithm based on CBFM. Rough estimation of the optimal block size is L_B ^rough 0.05 N^6/29 , and the exact optimal block size can be determined through preprocessing based on rough estimation. Numerical results of electromagnetic scattering problems are shown to demonstrate the performance of the proposed method.

Original language	English
Article number	8421270
Pages (from-to)	5370-5377
Number of pages	8
Journal	IEEE Transactions on Antennas and Propagation
Volume	66
Issue number	10
DOIs	https://doi.org/10.1109/TAP.2018.2860047
Publication status	Published - 2018 Oct

Bibliographical note

Funding Information:
Manuscript received October 25, 2017; revised March 22, 2018; accepted July 5, 2018. Date of publication July 26, 2018; date of current version October 4, 2018. This work was supported by Agency for Defense Development. (Corresponding author: Jong-Gwan Yook.) C.-S. Park, Y.-R. Jeong, and J.-G. Yook are with the School of Electrical and Electronic Engineering, Yonsei University, Seoul 120-749, South Korea (e-mail: jgyook@yonsei.ac.kr). I.-P. Hong is with the School of Information and Communication Engineering, Kongju National University, Gongju 331-717, South Korea. Color versions of one or more of the figures in this paper are available online at http://ieeexplore.ieee.org. Digital Object Identifier 10.1109/TAP.2018.2860047

Publisher Copyright:
© 1963-2012 IEEE.

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

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title = "Block size optimization of CBFM for scattering problems",

abstract = "The characteristic basis function method (CBFM) was developed as an algorithm to accelerate the analysis based on direct matrix solver. In CBFM, the optimum block size greatly influences the overall analysis time. In this paper, we propose a guideline for setting the optimal block size that can be applied to every algorithm based on CBFM. Rough estimation of the optimal block size is LB rough 0.05 N6/29 , and the exact optimal block size can be determined through preprocessing based on rough estimation. Numerical results of electromagnetic scattering problems are shown to demonstrate the performance of the proposed method.",

author = "Park, {Chan Sun} and Jeong, {Yi Ru} and Hong, {Ic Pyo} and Yook, {Jong Gwan}",

note = "Funding Information: Manuscript received October 25, 2017; revised March 22, 2018; accepted July 5, 2018. Date of publication July 26, 2018; date of current version October 4, 2018. This work was supported by Agency for Defense Development. (Corresponding author: Jong-Gwan Yook.) C.-S. Park, Y.-R. Jeong, and J.-G. Yook are with the School of Electrical and Electronic Engineering, Yonsei University, Seoul 120-749, South Korea (e-mail: jgyook@yonsei.ac.kr). I.-P. Hong is with the School of Information and Communication Engineering, Kongju National University, Gongju 331-717, South Korea. Color versions of one or more of the figures in this paper are available online at http://ieeexplore.ieee.org. Digital Object Identifier 10.1109/TAP.2018.2860047 Publisher Copyright: {\textcopyright} 1963-2012 IEEE.",

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AU - Yook, Jong Gwan

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N2 - The characteristic basis function method (CBFM) was developed as an algorithm to accelerate the analysis based on direct matrix solver. In CBFM, the optimum block size greatly influences the overall analysis time. In this paper, we propose a guideline for setting the optimal block size that can be applied to every algorithm based on CBFM. Rough estimation of the optimal block size is LB rough 0.05 N6/29 , and the exact optimal block size can be determined through preprocessing based on rough estimation. Numerical results of electromagnetic scattering problems are shown to demonstrate the performance of the proposed method.

AB - The characteristic basis function method (CBFM) was developed as an algorithm to accelerate the analysis based on direct matrix solver. In CBFM, the optimum block size greatly influences the overall analysis time. In this paper, we propose a guideline for setting the optimal block size that can be applied to every algorithm based on CBFM. Rough estimation of the optimal block size is LB rough 0.05 N6/29 , and the exact optimal block size can be determined through preprocessing based on rough estimation. Numerical results of electromagnetic scattering problems are shown to demonstrate the performance of the proposed method.

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Block size optimization of CBFM for scattering problems

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