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arXiv 0803.1905math.NAcs.NA

具有奇异点的拉普拉斯方程柯西问题的最优正则化技术基本解法

Method of Fundamental Solutions with Optimal Regularization Techniques for the Cauchy Problem of the Laplace Equation with Singular Points

National Taiwan University(国立台湾大学)

Takemi Shigeta, D. L. Young

AI总结:

针对具有奇异点的拉普拉斯方程柯西问题,提出一种基于基本解法与Tikhonov正则化技术的高精度快速数值方法,通过L曲线确定最优正则化参数,并数值优化基本解法参数,有效处理不规则区域和高噪声数据。

摘要:

本研究的目的是提出一种高精度且快速的数值方法,用于求解拉普拉斯方程的柯西问题。我们的问题直接通过基本解法(MFS)进行离散化。Tikhonov正则化方法稳定了给定高噪声柯西数据下问题的数值解。数值解的精度取决于Tikhonov正则化技术的正则化参数以及MFS的一些参数。L曲线确定了获得精确解的合适正则化参数。数值实验表明,这样的合适正则化参数与最优参数一致。此外,数值上观察到了MFS参数的更好选择。值得注意的是,其解具有奇异点的问题可以成功求解。结论是,本文提出的数值方法对于具有不规则区域、奇异点和高噪声柯西数据的问题是有效的。

英文摘要:

The purpose of this study is to propose a high-accuracy and fast numerical method for the Cauchy problem of the Laplace equation. Our problem is directly discretized by the method of fundamental solutions (MFS). The Tikhonov regularization method stabilizes a numerical solution of the problem for given Cauchy data with high noises. The accuracy of the numerical solution depends on a regularization parameter of the Tikhonov regularization technique and some parameters of MFS. The L-curve determines a suitable regularization parameter for obtaining an accurate solution. Numerical experiments show that such a suitable regularization parameter coincides with the optimal one. Moreover, a better choice of the parameters of MFS is numerically observed. It is noteworthy that a problem whose solution has singular points can successfully be solved. It is concluded that the numerical method proposed in this paper is effective for a problem with an irregular domain, singular points, and the Cauchy data with high noises.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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