1Department of Mathematics, University of Texas at Arlington, Arlington, TX 76019, USA. Email: hshan@uta.edu
2Department of Mathematics and Statistics, University of North Carolina at Charlotte, Charlotte, NC 28223, USA. Email: mklibanv@uncc.edu
3Department of Mathematics, University of Texas at Arlington, Arlington, TX 76019, USA. Email: su@uta.edu
4Department of Mathematics, University of Texas at Arlington, Arlington, TX 76019, USA.
5Department of Bioengineering, University of Texas at Arlington, Arlington, TX 76019, USA. Email: hanli@uta.edu
Citation Information: Journal of Inverse and Ill-posed Problems. Volume 16, Issue 8, Pages 763–790, ISSN (Online) 1569-3945, ISSN (Print) 0928-0219, DOI: 10.1515/JIIP.2008.048, January 2008
Abstract
A new numerical method for an inverse problem for an elliptic equation with unknown potential is proposed. In this problem the point source is running along a straight line and the source-dependent Dirichlet boundary condition is measured as the data for the inverse problem. A rigorous convergence analysis shows that this method converges globally, provided that the so-called tail function is approximated well. This approximation is verified in numerical experiments, so as the global convergence. Applications to medical imaging, imaging of targets on battlefields and to electrical impedance tomography are discussed.
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