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A Geometric Mapping Cross Approximation method

delete2013-12-01
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PRE
AI
张
张见明 (Jianming Zhang) *
郑兴帅 封面图
郑兴帅 (Xingshuai Zheng)
C
Chenjun Lu
谢贵重 封面图
谢贵重 (Guizhong Xie)
G
Guangyao Li
DOI:10.1016/j.enganabound.2013.10.003delete
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摘要

摘要

En 中文
The matrices of Boundary Element Method (BEM) are fully populated and require special compression techniques for the efficient treatment. In this article, the H-matrix representation is used to approximate the dense stiffness matrix in admissible blocks by low-rank matrices. This paper presents a Geometric Mapping Cross Approximation (GMCA) algorithm to compute the low-rank matrices. Compared with the Adaptive Cross Approximation (ACA), the GMCA determines the skeleton points from the two interacting groups of nodes by their spacing characteristics directly and, thus, has a remarkable non-iterative nature and requires some simple geometric transformations, only. Numerical examples show that the new algorithm is feasible. (C) 2013 Elsevier Ltd. All rights reserved.
Keyword:
H-matrix
Low-rank matrices
Adaptive Cross Approximation
Skeleton point
Geometric mapping
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期刊

Engineering Analysis with Boundary Elements 封面图
Engineering Analysis with Boundary Elements
IF:
4.1
论文数:
5.9K
被引数:
9.4K

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H
hunan university
学者数:
4.5W
论文数: 3.3W
被引数: 70
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