@Article{CiCP-35-3,
author = {Karageorghis, Andreas and Lesnic, Daniel and Marin, Liviu},
title = {Solution of Inverse Geometric Problems Using a Non-Iterative MFS},
journal = {Communications in Computational Physics},
year = {2024},
volume = {35},
number = {3},
pages = {553--578},
abstract = {<p style="text-align: justify;">In most of the method of fundamental solutions (MFS) approaches employed
so far for the solution of inverse geometric problems, the MFS implementation typically leads to non-linear systems which were solved by standard nonlinear iterative least squares software. In the current approach, we apply a three-step non-iterative MFS technique for identifying a rigid inclusion from internal data measurements, which consists of: (i) a direct problem to calculate the solution at the set of
measurement points, (ii) the solution of an ill-posed linear problem to determine the
solution on a known virtual boundary and (iii) the solution of a direct problem in
the virtual domain which leads to the identification of the unknown curve using the ${\rm MATLAB}^®$ functions contour in 2D and isosurface in 3D. The results of several numerical experiments for steady-state heat conduction and linear elasticity in two and
three dimensions are presented and analyzed.</p>},
issn = {1991-7120},
doi = {https://doi.org/10.4208/cicp.OA-2023-0207},
url = {https://global-sci.com/article/90933/solution-of-inverse-geometric-problems-using-a-non-iterative-mfs}
}