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首页> 外文期刊>Computer Modeling in Engineering & Sciences >Using the Method of Fundamental Solutions for Obtaining Exponentially Convergent Helmholtz Eigensolutions
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Using the Method of Fundamental Solutions for Obtaining Exponentially Convergent Helmholtz Eigensolutions

机译:使用基本解方法获得指数收敛的亥姆霍兹特征解

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摘要

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.
机译:众所周知,基本解法(MFS)是一种数值收敛的数值方法。在这项研究中,通过获得Helmholtz方程的本征解证明了MFS的指数收敛性。在求解过程中,通过亥姆霍兹基本解的叠加来近似求出的解,并在施加边界条件后得到系统矩阵。将黄金分割行列式搜索方法应用于矩阵,以找到指数收敛的本征频率。此外,基本解的最小二乘法被用于求解相应的本征函数。在解决过程中,MFS的源位置尽可能远,并且通过使用多精度浮点可靠(MPFR)库避免了精度饱和。

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