2013
DOI: 10.1016/j.jmaa.2012.11.044
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Topological and shape gradient strategy for solving geometrical inverse problems

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Cited by 20 publications
(37 citation statements)
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“…Following the approach of [8], [14], but taking into account the time-dependence of the problem, we introduce the mismatch functional…”
Section: A Reconstruction Algorithmmentioning
confidence: 99%
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“…Following the approach of [8], [14], but taking into account the time-dependence of the problem, we introduce the mismatch functional…”
Section: A Reconstruction Algorithmmentioning
confidence: 99%
“…This slight loss in accuracy seems to be an intrinsic limit of the topological gradient strategy applied to the considered problem. We point out that the reconstruction is performed by relying on a single measurement acquired on the boundary, which is indeed a constraint imposed by the In [3] and many related works the authors introduce a cost functional inherited from imaging techniques, whereas in [14], [35] different strategies involving the KohnVogelius functional or similar ones are explored. Nevertheless, the nonlinearity of the direct Figure 3: Reconstruction: value of the topological gradient in different configurations problem considered in this work prevents the possibility to apply these techniques, since the analitycal expressions of the fundamental solution, single and double layer potentials would not be available.…”
Section: Reconstruction Of Small Inclusionsmentioning
confidence: 99%
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“…Topological asymptotic expansions of the form (1) have been derived for many different problems constrained by linear PDEs. We refer the interested reader to [14,16,18,30,5,4,10,11,12] as well as the monograph [32]. Besides the field of shape and topology optimization, topological derivatives are also used in applications from mathematical imaging, such as image segmentation [25] or electric impedance tomography [26,28], or other geometric inverse problems such as the detection of obstacles, of cracks or of impurities of a material, see e.g., [16,23] and the references therein.…”
Section: Introductionmentioning
confidence: 99%
“…The so-called Kohn-Vogelius criterion [19] (13) has already been investigated in the topological gradient context for the detection of cracks [20] in the steady-state heat equation, for the localization of small cavities in Stokes flow [12] and for the shape reconstruction of inclusions in an inverse conductivity problem [21].…”
Section: Application To Cavities Identificationmentioning
confidence: 99%