A new version of the convexification method for a 1D coefficient inverse problem with experimental data-Reference-Cited by-同舟云学术

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A new version of the convexification method for a 1D coefficient inverse problem with experimental data

Published:2018-09-21 Issue:11 Volume:34 Page:115014
ISSN:0266-5611
Container-title:Inverse Problems
language:
Short-container-title:Inverse Problems

Author:

Klibanov Michael V^ORCID,Kolesov Aleksandr E,Sullivan Anders,Nguyen Lam

Funder

Office of Naval Research

US Army Research Office

Russian Federation Government

Russian Foundation for Basic Research

Publisher

IOP Publishing

Subject

Applied Mathematics,Computer Science Applications,Mathematical Physics,Signal Processing,Theoretical Computer Science

Link

https://iopscience.iop.org/article/10.1088/1361-6420/aadbc6/pdf

Reference43 articles.

1. Globally Strictly Convex Cost Functional for a 1-D Inverse Medium Scattering Problem with Experimental Data

2. Globally strongly convex cost functional for a coefficient inverse problem

3. Uniform Strict Convexity of a Cost Functional for Three-Dimensional Inverse Scattering Problem

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1. An explicit Fourier-Klibanov method for an age-dependent tumor growth model of Gompertz type;Applied Numerical Mathematics;2024-04

2. Numerical Verification of the Convexification Method for a Frequency-Dependent Inverse Scattering Problem with Experimental Data;Journal of Applied and Industrial Mathematics;2023-09

3. Numerical reconstruction for 3D nonlinear SAR imaging via a version of the convexification method;Contemporary Mathematics;2023

4. Global reconstruction of initial conditions of nonlinear parabolic equations via the Carleman-contraction method;Contemporary Mathematics;2023

5. Carleman contraction mapping for a 1D inverse scattering problem with experimental time-dependent data;Inverse Problems;2022-02-24

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