Retrieving the Robin coefficient from single Cauchy data in elliptic systems

A. El Madkouri, A. Ellabib
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引用次数: 0

Abstract

The purpose of this work is to identify a Robin coefficient from available measurements on the accessible part of the boundary. After recasting the inverse problem as an optimization problem, we study the issue of identifiability, stability, and identification. For the reconstruction process, two regularized algorithms are designed, and the forward problem is approximated using the discontinuous dual reciprocity method. The accuracy of the proposed approaches is tested in the case of noise–free and noisy data and the findings are very promising and encouraging.
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椭圆系统单Cauchy数据的Robin系数提取
这项工作的目的是从边界可达部分的可用测量中确定一个罗宾系数。在将逆问题转化为优化问题后,我们研究了可辨识性、稳定性和辨识性问题。对于重构过程,设计了两种正则化算法,采用不连续对偶互易方法逼近正演问题。在无噪声和有噪声数据的情况下测试了所提出方法的准确性,结果非常有希望和令人鼓舞。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Mathematical Modeling and Computing
Mathematical Modeling and Computing Computer Science-Computational Theory and Mathematics
CiteScore
1.60
自引率
0.00%
发文量
54
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