Modified Adaptive Cross Approximation Algorithm to Accelerate Impedance Calculation

机译：改进的自适应交叉近似算法可加快阻抗计算

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In this paper, a method of moments (MoM) based modified adaptive cross approximation (MACA) algorithm is proposed to accelerate the calculation of impedance changes for nondestructive evaluation. Stratton-Chu formulations are selected for MoM to deal with low frequency problems. Numerical results show that MACA algorithm has more memory saving while keeping almost same accuracy as compared to ACA algorithm.

机译：本文提出了一种基于矩量法（MoM）的改进的自适应交叉逼近（MACA）算法，以加速阻抗变化的计算，以进行无损评估。 MoM选择了Stratton-Chu公式来处理低频问题。数值结果表明，与ACA算法相比，MACA算法可节省更多内存，同时保持几乎相同的精度。

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来源
《2018 International Applied Computational Electromagnetics Society Symposium - China》|2018年|1-2|共2页
会议地点 Beijing(CN)
作者
Yang Bao; Jiming Song; Zhiwei Liu;
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作者单位

Department of Electrical and Computer Engineering, Iowa State University, Ames, Iowa, USA;

Department of Electrical and Computer Engineering, Iowa State University, Ames, Iowa, USA;

Department of Information Engineering, East China Jiaotong University, Nanchang, Jiangxi, China;

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原文格式 PDF
正文语种 eng
中图分类
关键词
Method of moments; Impedance; Memory management; Approximation algorithms; Electron tubes; Acceleration; Integral equations;

机译：矩量法阻抗记忆管理近似算法电子管加速度积分方程;

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Modified Adaptive Cross Approximation Algorithm to Accelerate Impedance Calculation

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