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Using the Method of Fundamental Solutions for Obtaining Exponentially Convergent Helmholtz Eigensolutions

by Chia-Cheng Tsai1, D. L. Young3

Corresponding author. Department of Marine Environmental Engineering, National Kaohsiung Marine University, Kaohsiung 811, Taiwan. E-mail: tsaichiacheng@mail.nkmu.edu.tw
International Wave Dynamics Research Center, National Cheng Kung University, Tainan 701, Taiwan.
Department of Civil Engineering, National Taiwan University, Taipei 106, Taiwan.

Computer Modeling in Engineering & Sciences 2013, 94(2), 175-205. https://doi.org/10.3970/cmes.2013.094.175

Abstract

It is well known that the method of fundamental solutions (MFS) is a numerical method of exponential convergence. In this study, the exponential convergence of the MFS is demonstrated by obtaining the eigensolutions of the Helmholtz equation. In the solution procedure, the sought solution is approximated by a superposition of the Helmholtz fundamental solutions and a system matrix is resulted after imposing the boundary condition. A golden section determinant search method is applied to the matrix for finding exponentially convergent eigenfrequencies. In addition, the least-squares method of fundamental solutions is applied for solving the corresponding eigenfunctions. In the solution procedure, the sources of the MFS are located as far as possible and the precision saturation is avoided by using the multiple precision floating-point reliable (MPFR) library.

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Cite This Article

APA Style
Tsai, C., Young, D.L. (2013). Using the method of fundamental solutions for obtaining exponentially convergent helmholtz eigensolutions. Computer Modeling in Engineering & Sciences, 94(2), 175-205. https://doi.org/10.3970/cmes.2013.094.175
Vancouver Style
Tsai C, Young DL. Using the method of fundamental solutions for obtaining exponentially convergent helmholtz eigensolutions. Comput Model Eng Sci. 2013;94(2):175-205 https://doi.org/10.3970/cmes.2013.094.175
IEEE Style
C. Tsai and D. L. Young, “Using the Method of Fundamental Solutions for Obtaining Exponentially Convergent Helmholtz Eigensolutions,” Comput. Model. Eng. Sci., vol. 94, no. 2, pp. 175-205, 2013. https://doi.org/10.3970/cmes.2013.094.175



cc Copyright © 2013 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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