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Small Volume Expansions

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Part of the Lecture Notes in Mathematics book series (LNM,volume 2098)

Abstract

In their most general forms imaging problems are severely ill-posed and nonlinear. These are the main obstacles to find non-iterative reconstruction algorithms. In this chapter we use structural information about the profile of the material property in order to determine specific features about them with a satisfactory resolution.

Keywords

  • Asymptotic Expansion
  • Asymptotic Formula
  • Helmholtz Equation
  • Polarization Tensor
  • Background Solution

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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© 2013 Springer International Publishing Switzerland

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Ammari, H. et al. (2013). Small Volume Expansions. In: Mathematical and Statistical Methods for Multistatic Imaging. Lecture Notes in Mathematics, vol 2098. Springer, Cham. https://doi.org/10.1007/978-3-319-02585-8_3

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