Parameter identification in PDEs by the solution of monotone inclusion problems

Fuente: arXiv
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Main Authors: Gautam, Pankaj, Grasmair, Markus
Format: Preprint
Published: 2024
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_version_ 1866915171827449856
author Gautam, Pankaj
Grasmair, Markus
author_facet Gautam, Pankaj
Grasmair, Markus
contents In this paper we consider the solution of monotone inverse problems using the particular example of a parameter identification problem for a semilinear parabolic PDE. For the regularized solution of this problem, we introduce a total variation based regularization method requiring the solution of a monotone inclusion problem. We show well-posedness in the sense of inverse problems of the resulting regularization scheme. In addition, we introduce and analyze a numerical algorithm for the solution of this inclusion problem using a nested inertial primal dual method. We demonstrate by means of numerical examples the convergence of both the numerical algorithm and the regularization method.
format Preprint
id arxiv_https___arxiv_org_abs_2403_04557
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Parameter identification in PDEs by the solution of monotone inclusion problems
Gautam, Pankaj
Grasmair, Markus
Numerical Analysis
Analysis of PDEs
Optimization and Control
65J20, 47H05, 47J06, 49J20
In this paper we consider the solution of monotone inverse problems using the particular example of a parameter identification problem for a semilinear parabolic PDE. For the regularized solution of this problem, we introduce a total variation based regularization method requiring the solution of a monotone inclusion problem. We show well-posedness in the sense of inverse problems of the resulting regularization scheme. In addition, we introduce and analyze a numerical algorithm for the solution of this inclusion problem using a nested inertial primal dual method. We demonstrate by means of numerical examples the convergence of both the numerical algorithm and the regularization method.
title Parameter identification in PDEs by the solution of monotone inclusion problems
topic Numerical Analysis
Analysis of PDEs
Optimization and Control
65J20, 47H05, 47J06, 49J20
url https://arxiv.org/abs/2403.04557