2019
DOI: 10.1137/18m1236034
|View full text |Cite
|
Sign up to set email alerts
|

Convexification for the Inversion of a Time Dependent Wave Front in a Heterogeneous Medium

Abstract: An inverse scattering problem for the 3D acoustic equation in time domain is considered. The unknown spatially distributed speed of sound is the subject of the solution of this problem. A single location of the point source is used. Using a Carleman Weight Function, a globally strictly convex cost functional is constructed. A new Carleman estimate is proven. Global convergence of the gradient projection method is proven. Numerical experiments are conducted.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

3
65
0

Year Published

2019
2019
2023
2023

Publication Types

Select...
4
2

Relationship

2
4

Authors

Journals

citations
Cited by 50 publications
(68 citation statements)
references
References 38 publications
3
65
0
Order By: Relevance
“…After [2], a number of works on the convexification was published by the first author with coauthors, in which the theory is combined with numerical results, see, e.g. [16,26,27,28,29]. We also refer to [3] where a different version of the convexification is developed for a CIP for the hyperbolic equation u tt = ∆u + q (x) u and numerical results are presented.…”
mentioning
confidence: 99%
See 1 more Smart Citation
“…After [2], a number of works on the convexification was published by the first author with coauthors, in which the theory is combined with numerical results, see, e.g. [16,26,27,28,29]. We also refer to [3] where a different version of the convexification is developed for a CIP for the hyperbolic equation u tt = ∆u + q (x) u and numerical results are presented.…”
mentioning
confidence: 99%
“…This means that each new CIP requires it own version of the convexification, and these versions differ from each other quite significantly. Currently the convexification is developed analytically and tested numerically for CIPs for the Helmholtz equation [16,26,29], two hyperbolic equations [3,5,28] and Electrical Impedance Tomography [27]. The goal of this paper is to develop analytically and implement computationally the convexification method for a CIP for a parabolic PDE.…”
mentioning
confidence: 99%
“…Remark 6.1. Although Theorem 6.1, so as other theorems of this section, is valid only for sufficiently large values of the parameter λ, our past computational experience with the convexification demonstrates that usually once can select quite reasonable values of λ ∈ [1,3] in the numerical practice [1,19,20,22,23,21].…”
Section: )mentioning
confidence: 97%
“…The suitable values of numbers N and K should be chosen numerically, see, e.g. [7,10,11,20,22,23,21,24] for such choices for a variety of inverse problems.…”
Section: Approximate Mathematical Modelmentioning
confidence: 99%
See 1 more Smart Citation