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Applicability of the Boundary Particle Method

F.Z. Wang 1,2,3

College of Mathematics, Huaibei Normal University, No. 100 Dongshan Road, Huaibei, Anhui 235000, China
Corresponding to: wangfuzhang@hhu.edu.cn
Department of Engineering Mechanics, Hohai University, No.1 XiKang Road, Nanjing, Jiangsu 210098, China

Computer Modeling in Engineering & Sciences 2011, 80(3&4), 201-218. https://doi.org/10.3970/cmes.2011.080.201

Abstract

In this paper, we consider the boundary particle method (BPM) which is excellent in solving inhomogeneous partial differential equations in terms of solution accuracy and simplicity. In order to investigate the applicability of the BPM, we examine the relationship between its solution accuracy and the effective condition number. We show that the effective condition number, which estimates system stability with the right-hand side vector taken into account, is inversely proportional to the root mean square error in the numerical approximation. Moreover, for noisy-boundary cases, we find that the BPM can not yield reasonable results, for more noise added to the right-hand side vector, by using Gaussian elimination. Thus, to solve effectively the discrete ill-conditioned coefficient matrix, we adopt three regularization techniques under two different regularization parameter choices. Numerical results indicate that the generalized cross-validation choice rule for the damped singular value decomposition regularization strategy performs the best.

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Cite This Article

APA Style
Wang, F. (2011). Applicability of the boundary particle method. Computer Modeling in Engineering & Sciences, 80(3&4), 201-218. https://doi.org/10.3970/cmes.2011.080.201
Vancouver Style
Wang F. Applicability of the boundary particle method. Comput Model Eng Sci. 2011;80(3&4):201-218 https://doi.org/10.3970/cmes.2011.080.201
IEEE Style
F. Wang, “Applicability of the Boundary Particle Method,” Comput. Model. Eng. Sci., vol. 80, no. 3&4, pp. 201-218, 2011. https://doi.org/10.3970/cmes.2011.080.201



cc Copyright © 2011 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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