首页> 外文期刊>Inverse Problems: An International Journal of Inverse Problems, Inverse Methods and Computerised Inversion of Data >A Carleman estimate and the balancing principle in the quasi-reversibility method for solving the Cauchy problem for the Laplace equation
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A Carleman estimate and the balancing principle in the quasi-reversibility method for solving the Cauchy problem for the Laplace equation

机译:拟可逆性方法中的Carleman估计和平衡原理,用于解决Laplace方程的Cauchy问题

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摘要

The quasi-reversibility method of solving the Cauchy problem for the Laplace equation in a bounded domain Ω is considered. With the help of the Carleman estimation technique improved error and stability bounds in a subdomain Ω_σ, c Ω are obtained. This paves the way for the use of the balancing principle for an a posteriori choice of the regularization parameter in the quasi-reversibility method. As an adaptive regularization parameter choice strategy, the balancing principle does not require a priori knowledge of either the solution smoothness or a constant K appearing in the stability bound estimation. Nevertheless, this principle allows an a posteriori parameter choice that up to a controllable constant achieves the best accuracy guaranteed by the Carleman estimate.
机译:考虑了在有界域Ω中求解Laplace方程的柯西问题的拟可逆性方法。借助于Carleman估计技术,可以改善子域Ω_σ,cΩ中的误差和稳定性界限。这为将平衡原理用于准可逆性方法中正则化参数的后验选择铺平了道路。作为一种自适应的正则化参数选择策略,平衡原理不需要先验知识即可了解解决方案的平滑度或稳定边界估计中出现的常数K。然而,该原理允许后验参数选择,该后验参数选择高达可控常数即可达到Carleman估计所保证的最佳精度。

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