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IPI

The inverse scattering problem for multidimensional Schrödinger operator is studied.
More exactly we prove a new formula for the first nonlinear term to estimate more accurately
this term. This estimate allows to conclude
that all singularities and jumps of the unknown potential can be recovered from the Born
approximation. Especially, we show for the potentials in $L^p$ for certain values of $p$ that
the approximation agrees with the true potential up to the continuous function.% Text of abstract

IPI

A new reconstruction algorithm is presented for
eit in dimension two, based on the constructive uniqueness proof given by Astala and Päivärinta in [

*Ann. of Math.***163**(2006)]. The method is non-iterative, provides a noise-robust solution of the full nonlinear eit problem, and applies to more general conductivities than previous approaches. In particular, the new algorithm applies to piecewise smooth conductivities. Reconstructions from noisy and non-noisy simulated data from conductivity distributions representing a cross-sections of a chest and a layered medium such as stratified flow in a pipeline are presented. The results suggest that the new method can recover useful and reasonably accurate eit images from data corrupted by realistic amounts of measurement noise. In particular, the dynamic range in medium-contrast conductivities is reconstructed remarkably well.
IPI

The interior transmission problem is a boundary value problem that plays a basic role in inverse scattering theory but unfortunately does not seem to be included in any existing theory in partial differential equations.This paper presents old and new results for the interior transmission problem ,in particular its relation to inverse scattering theory and new results on the spectral theory associated with this class of boundary value problems.

keywords:
Interior Transmission Problem.

IPI

The fields of inverse problems and imaging are new and flourishing
branches of both pure and applied mathematics. In particular, these
areas are concerned with recovering information about an object from
indirect, incomplete or noisy observations and have become one of
the most important and topical fields of modern applied mathematics.

The modern study of inverse problems and imaging applies a wide range of geometric and analytic methods which in turn creates new connections to various fields of mathematics, ranging from geometry, microlocal analysis and control theory to mathematical physics, stochastics and numerical analysis. Research in inverse problems has shown that many results of pure mathematics are in fact crucial components of practical algorithms. For example,a theoretical understanding of the structures that ideal measurements should reveal, or of the non-uniqueness of solutions,can lead to a dramatic increase in the quality of imaging applications. On the other hand,inverse problems have also raised many new mathematical problems. For example, the invention of the inverse spectral method to solve the Korteweg-de Vries equation gave rise to the field of integrable systems and the mathematical theory of solitons.

For more information please click the “Full Text” above.

The modern study of inverse problems and imaging applies a wide range of geometric and analytic methods which in turn creates new connections to various fields of mathematics, ranging from geometry, microlocal analysis and control theory to mathematical physics, stochastics and numerical analysis. Research in inverse problems has shown that many results of pure mathematics are in fact crucial components of practical algorithms. For example,a theoretical understanding of the structures that ideal measurements should reveal, or of the non-uniqueness of solutions,can lead to a dramatic increase in the quality of imaging applications. On the other hand,inverse problems have also raised many new mathematical problems. For example, the invention of the inverse spectral method to solve the Korteweg-de Vries equation gave rise to the field of integrable systems and the mathematical theory of solitons.

For more information please click the “Full Text” above.

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