2013
DOI: 10.1155/2013/976837
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A Survey on Inverse Problems for Applied Sciences

Abstract: The aim of this paper is to introduce inversion-based engineering applications and to investigate some of the important ones from mathematical point of view. To do this we employ acoustic, electromagnetic, and elastic waves for presenting different types of inverse problems. More specifically, we first study location, shape, and boundary parameter reconstruction algorithms for the inaccessible targets in acoustics. The inverse problems for the time-dependent differential equations of isotropic and anisotropic … Show more

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Cited by 29 publications
(15 citation statements)
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References 248 publications
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“…Forward problem techniques are always based on a previously selected configuration, and the effectiveness of the forward configuration strongly influences the efficiency of the inversion approach. Approaches used for modeling electromagnetic forward problems fall into two main categories: mesh-based and meshless approaches [15].…”
Section: Forward Formulationmentioning
confidence: 99%
“…Forward problem techniques are always based on a previously selected configuration, and the effectiveness of the forward configuration strongly influences the efficiency of the inversion approach. Approaches used for modeling electromagnetic forward problems fall into two main categories: mesh-based and meshless approaches [15].…”
Section: Forward Formulationmentioning
confidence: 99%
“…For more details on ill-posed problems and regularization methods one can refer to [14][15][16][17][18][19][20].…”
Section: Regularized Controlmentioning
confidence: 99%
“…Despite that there exists a wealth of theoretical and applied results for the inverse acoustic scattering problem ranging across several areas of physics and mathematics [7][8][9][10][11][12][13][14], the development of methods for the reliable solution of this classical inverse problem remains an active research area (see [15] and references therein for a review). Many applications have been found for inverse scattering problem, including echolocation, geophysical survey, nondestructive testing, and medical imaging.…”
Section: Introductionmentioning
confidence: 99%