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首页> 外文期刊>IMA Journal of Applied Mathematics >Robust numerical algorithms based on analytic approximation for the solution of inverse problems in annular domains
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Robust numerical algorithms based on analytic approximation for the solution of inverse problems in annular domains

机译:基于解析逼近的鲁棒数值算法用于求解环形区域反问题

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摘要

We consider the Cauchy problem of recovering both Neumann and Dirichlet data on the inner part of the boundary of an annular domain from measurements of a harmonic function on some part of the outer boundary. Using tools from complex analysis and best approximation in Hardy classes, we present a family of fast data completion algorithms which are shown to provide constructive and robust identification schemes. These are applied to the computation of an impedance or Robin coefficient and are validated by a thorough numerical study.
机译:我们考虑了柯西问题,该问题是通过从外边界的某些部分上的谐波函数的测量值来恢复环形域边界的内部上的Neumann和Dirichlet数据的。使用来自Hardy类的复杂分析和最佳逼近中的工具,我们介绍了一系列快速数据完成算法,这些算法可提供构造性和鲁棒性的识别方案。这些被应用于阻抗或罗宾系数的计算,并通过全面的数值研究得到了验证。

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