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Method of fundamental solutions with regularization techniques for Cauchy problems of elliptic operators

机译:椭圆算子柯西问题的正则化基本解法

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In this paper we combine the method of fundamental solutions with various regularization techniques to solve Cauchy problems of elliptic differential operators. The main idea is to approximate the unknown solution by a linear combination of fundamental solutions whose singularities are located outside the solution domain. To solve effectively the discrete ill-posed resultant matrix, we use three regularization strategies under three different choices for the regularization parameter. Several examples on problems with smooth and non-smooth geometries in 2D and 3D spaces using under-, equally, and over-specified Cauchy data on an accessible boundary are given. Numerical results indicate that the generalized cross-validation and L-curve choice rulers for Tikhonov regularization and damped singular value decomposition strategy are most effective when using the same numbers of collocation and source points. It has also been observed that the use of more Cauchy data will greatly improve the accuracy of the approximate solution.
机译:在本文中,我们将基本解的方法与各种正则化技术相结合,以解决椭圆微分算子的柯西问题。主要思想是通过奇异点位于解域之外的基本解的线性组合来近似未知解。为了有效地解决离散不适定结果矩阵,我们在三种不同选择下使用三种正则化策略作为正则化参数。给出了几个有关在2D和3D空间中使用光滑,不光滑几何形状的问题的示例,这些问题使用了在可访问边界上的欠指定,均等和超指定的柯西数据。数值结果表明,当使用相同数量的搭配点和源点时,用于Tikhonov正则化和阻尼奇异值分解策略的广义交叉验证和L曲线选择标尺最有效。还已经观察到,使用更多柯西数据将大大提高近似解的准确性。

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