Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4638828 | Journal of Computational and Applied Mathematics | 2015 | 15 Pages |
Abstract
We present a Tikhonov parameter choice approach for three-dimensional reconstructions based on a maximum product criterion (MPC) which provides a regularization parameter located in the concave part of the L-curve in log-log scale. Our method, baptized Improved Maximum Product Criterion (IMPC), is an extension of the MPC method developed by Bazán et al. for two-dimensional reconstructions. In the 3D framework, IMPC computes the regularization parameter via a fast iterative algorithm and requires no a priori knowledge of the noise level in the data. It is applied on the linear sampling method for solving the electromagnetic inverse medium problem in the 3D framework. The effectiveness of IMPC is illustrated with numerical examples involving more than one scatterer.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
FermÃn S.V. Bazán, Juliano B. Francisco, Koung Hee Leem, George Pelekanos,