Convexification for a 1D Hyperbolic Coefficient Inverse Problem with Single Measurement Data
Numerical Analysis
2020-07-14 v2 Numerical Analysis
Abstract
A version of the convexification numerical method for a Coefficient Inverse Problem for a 1D hyperbolic PDE is presented. The data for this problem are generated by a single measurement event. This method converges globally. The most important element of the construction is the presence of the Carleman Weight Function in a weighted Tikhonov-like functional. This functional is strictly convex on a certain bounded set in a Hilbert space, and the diameter of this set is an arbitrary positive number. The global convergence of the gradient projection method is established. Computational results demonstrate a good performance of the numerical method for noisy data.
Cite
@article{arxiv.2002.01074,
title = {Convexification for a 1D Hyperbolic Coefficient Inverse Problem with Single Measurement Data},
author = {Alexey V. Smirnov and Michael V. Klibanov and Loc H. Nguyen},
journal= {arXiv preprint arXiv:2002.01074},
year = {2020}
}
Comments
22 pages, 4 figures, accepted for publication by Inverse Problems and Imaging