Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
9507109 | Applied Mathematics and Computation | 2005 | 22 Pages |
Abstract
In this paper, we investigate an one-dimensional inverse problem in diffusion based optical tomography using iteratively regularized Gauss-Newton (IRGN) algorithm for ill-posed nonlinear problems. We devise a stable reconstruction algorithm for the inverse problem using iterative regularization with Armijo-Goldstein-Wolf (AGW) type line search strategy. We demonstrate the efficacy of the IRGN combined with AGW by reconstructing the scattering parameter relevant to the inverse problem in optical tomography.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
T. Khan, A. Smirnova,