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A coupled complex boundary method for parameter identification in elliptic problems

机译:椭圆问题参数识别的耦合复杂边界方法

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ABSTRACT In this paper, we study a parameter identification problem for elliptic partial differential equations. We reconstruct the coefficient with additional boundary measurements, including both Dirichlet and Neumann boundary conditions. To solve the problem, the coupled complex boundary method (CCBM), originally proposed in Cheng et al. [A novel coupled complex boundary method for solving inverse source problems, Inverse Probl. 30 (2014), p. 055002] is used. With CCBM, a complex boundary problem is introduced in such a way that the boundary conditions are coupled in a complex Robin boundary condition with a parameter τ. Using Tikhonov regularization, the coefficient is sought such that the imaginary part of the solution of the forward Robin boundary value problem vanishes in the problem domain, which brings advantages on robustness in reconstruction. Besides, the reconstruction is feasible even for very small regularization parameter through choosing the values of τ properly. Some theoretical analyses are given. Moreover, noise model is analysed and the finite element method is used for discretization. Numerical examples show the feasibility and stability of the proposed method.
机译:摘要在本文中,我们研究了椭圆偏微分方程的参数识别问题。我们将系数重建,具有额外的边界测量,包括Dirichlet和Neumann边界条件。为了解决问题,最初在Cheng等人提出的耦合复杂边界法(CCBM)。 [求解逆源问题的新型耦合复杂边界方法,反向proBl。 30(2014),p。使用055002]。利用CCBM,以这样的方式引入复杂的边界问题,使得边界条件以具有参数τ的复杂罗宾边界条件耦合。使用Tikhonov正规化,寻求系数,使得前卫罗宾边值问题解决方案的虚构部分在问题域中消失,这为重建鲁棒性带来了优势。此外,即使对于非常小的正则化参数,重建也是可行的,通过正确选择τ的值。给出了一些理论分析。此外,分析了噪声模型,并且有限元方法用于离散化。数值示例显示了所提出的方法的可行性和稳定性。

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