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

作者：Tsai Chia Cheng^*; Young D L

来源：Computer Modeling in Engineering & Sciences, 2013, 94(2): 175-205.

• exponential convergence
• method of fundamental solutions
• multiple precision floating-point reliable library
• Helmholtz equation

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.

• 出版日期2013-8