2022
DOI: 10.1137/22m1480550
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Lipschitz Stable Determination of Polyhedral Conductivity Inclusions from Local Boundary Measurements

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Cited by 6 publications
(2 citation statements)
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“…Notice that, in general, a single couple (ϕ, f) is not sufficient to uniquely determine the unknown parameter σ [20]. However, two linearly independent pairs of measurements (ϕ 1 , f 1 ), (ϕ 2 , f 2 ) are sufficient to define the piecewise constant conductivity σ. Lipschitz stability results for the inverse geometrical problem using Dirichlet to Neumann maps have been established in [5] when the interface is polygonal and extended to polyhedral interfaces for 3D problems in [3]. Our adopted approach consists in transforming the inverse problem into an optimization one by constructing a cost function J modeling the energy gap between the solution of the direct problem and the solution of the following Dirichlet problem: v ∈ H 1 (Ω), such that…”
Section: The Inverse Problem and The Kohn-vogelius Functionalmentioning
confidence: 99%
“…Notice that, in general, a single couple (ϕ, f) is not sufficient to uniquely determine the unknown parameter σ [20]. However, two linearly independent pairs of measurements (ϕ 1 , f 1 ), (ϕ 2 , f 2 ) are sufficient to define the piecewise constant conductivity σ. Lipschitz stability results for the inverse geometrical problem using Dirichlet to Neumann maps have been established in [5] when the interface is polygonal and extended to polyhedral interfaces for 3D problems in [3]. Our adopted approach consists in transforming the inverse problem into an optimization one by constructing a cost function J modeling the energy gap between the solution of the direct problem and the solution of the following Dirichlet problem: v ∈ H 1 (Ω), such that…”
Section: The Inverse Problem and The Kohn-vogelius Functionalmentioning
confidence: 99%
“…This method is firstly developed in [26] for EIT, and we will use it for our problem (IP). For more about partial data problems, we refer the reader to [27][28][29][30] and the references therein.…”
Section: Introductionmentioning
confidence: 99%