2008Inverse Problems in Science and EngineeringOpen access

The method of fundamental solutions for solving a Cauchy problem of Laplace's equation in a multi-connected domain

Dayong Zhou, Ting Wei

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Abstract

In this article, the method of fundamental solutions is applied to solve a Cauchy problem of Laplace's equation in a multi-connected domain. This problem is severely ill-posed in the sense of Hadamard. To solve effectively the discrete ill-posed problem resulted from a boundary collocation scheme, Tikhonov regularization and L-curve choice for a regularization parameter have been used for determining a stable approximate solution. The feasibility and validity of the proposed approach is demonstrated through several numerical examples.

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What this paper is about

In this article, the method of fundamental solutions is applied to solve a Cauchy problem of Laplace's equation in a multi-connected domain. This problem is severely ill-posed in the sense of Hadamard. To solve effectively the discrete ill-posed problem resulted from a boundary collocation scheme, Tikhonov regularization and L-curve choice for a regularization parameter have been used for determining a stable approximate solution. The feasibility and validity of the proposed approach is demonstrated through several numerical examples.

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Available abstract

In this article, the method of fundamental solutions is applied to solve a Cauchy problem of Laplace's equation in a multi-connected domain. This problem is severely ill-posed in the sense of Hadamard. To solve effectively the discrete ill-posed problem resulted from a boundary collocation scheme, Tikhonov regularization and L-curve choice for a regularization parameter have been used for determining a stable approximate solution. The feasibility and validity of the proposed approach is demonstrated through several numerical examples.

Key concepts: Tikhonov regularization, Well-posed problem, Mathematics, Regularization (linguistics), Hadamard transform, Cauchy problem, Laplace's equation, Cauchy distribution

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