A globally convergent numerical method for a 1-d inverse medium problem with experimental data
Michael V. Klibanov, Loc H. Nguyen, Anders Sullivan, and Lam Nguyen

TL;DR
This paper introduces a globally convergent algorithm using the Quasi-Reversibility Method for reconstructing the dielectric constant in a 1-D inverse medium problem, validated on simulated and experimental data.
Contribution
It presents a novel globally convergent reconstruction algorithm that does not require prior solution neighborhood knowledge, with proven convergence via Carleman estimates.
Findings
Successful reconstruction on simulated data
Effective application to experimental data
Proven convergence of the method
Abstract
In this paper, a reconstruction method for the spatially distributed dielectric constant of a medium from the back scattering wave field in the frequency domain is considered. Our approach is to propose a globally convergent algorithm, which does not require any knowledge of a small neighborhood of the solution of the inverse problem in advance. The Quasi-Reversibility Method (QRM) is used in the algorithm. The convergence of the QRM is proved via a Carleman estimate. The method is tested on both computationally simulated and experimental data.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
