NAME Liliana Borcea
EMAIL borcea@caam.rice.edu
COMPANY / INSTITUTION Computational and Applied Mathematics,
Rice University
COUNTRY USA
   
ABSTRACT Title: Nonlinear Multigrid for imaging electrical conductivity and permittivity at low frequency

We propose a nonlinear multigrid approach for imaging the electrical conductivity and permittivity of a body, given partial, usually noisy knowledge of the Neumann to Dirichlet map at the boundary. The algorithm is a nested iteration, where the image is constructed on a sequence of grids, starting from the coarse grid and advancing towards the finest one. We show various numerical examples that demonstrate the effectiveness and robustness of the algorithm and prove local convergence.

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