Numerical studies of domain sampling methods for inverse boundary value problems by one measurement

We consider an inverse boundary value problem for the Laplace equation, which discusses the reconstruction of an unknown target inside the background medium from one boundary measurement. We are interested in two domain sampling methods, i.e., the range test and no-response test, whose convergences...

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Bibliographic Details
Published in:Journal of computational physics Vol. 485; p. 112099
Main Authors: Sun, Shiwei, Nakamura, Gen, Wang, Haibing
Format: Journal Article
Language:English
Published: Elsevier Inc 15.07.2023
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ISSN:0021-9991, 1090-2716
Online Access:Get full text
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Summary:We consider an inverse boundary value problem for the Laplace equation, which discusses the reconstruction of an unknown target inside the background medium from one boundary measurement. We are interested in two domain sampling methods, i.e., the range test and no-response test, whose convergences are justified theoretically in previous work [17]. As a continuation of this work, we study the numerical realizations of these methods. Some new techniques are proposed to set up efficient algorithms, which yield reasonably good numerical reconstructions. To demonstrate the performance of proposed algorithms, we show several numerical examples for different shapes of unknown targets with noisy measurement data. Some key ingredients of numerical implementations are discussed in detail. •We propose two improved algorithms for an inverse boundary value problem, based on the range test and no-response test methods.•We extend the algorithms to the inclusion case and show some numerical results.•We propose a two-step algorithm to reduce the computational cost.
ISSN:0021-9991
1090-2716
DOI:10.1016/j.jcp.2023.112099