Coupled complex boundary method for a geometric inverse source problem

This work deals with a geometric inverse source problem. It consists in recovering the characteristic function of an unknown inclusion based on boundary measurements. We propose a new reconstruction method based on the CCBM and the shape gradient method, the inverse problem is formulated as a shape optimization one, corresponding to a coupled complex boundary state problem. Well posedness and existence results are presented. A computed expression for the shape gradient is used to implement a gradient algorithm. The efficiency and accuracy of the reconstruction algorithm are illustrated by some numerical results, and a comparison between CCBM, Least-squares and Kohn-Vogeluis methods is presented