Convergence rates for Tikhonov regularization of a coefficient identification problem
This paper investigates the convergence rates for Tikhonov regularization of the problem for identifying the coefficient in the frequency-domain acoustic wave equation in general dimensional spaces; here , , and . We assume that we know the imprecise measurement data of 𝑢 in the subdomain with a mea...
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Published in | Journal of inverse and ill-posed problems Vol. 33; no. 4; pp. 497 - 513 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Berlin
De Gruyter
01.08.2025
Walter de Gruyter GmbH |
Subjects | |
Online Access | Get full text |
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Summary: | This paper investigates the convergence rates for Tikhonov regularization of the problem for identifying the coefficient
in the frequency-domain acoustic wave equation
in general dimensional spaces; here
,
, and
.
We assume that we know the imprecise measurement data of 𝑢 in the subdomain
with a measurement error of level
, while 𝑢 satisfies the general Robin boundary condition on
.
We propose to regularize this problem by minimizing a new functional and prove that the functional attains a unique global minimum on the admissible set of
.
Furthermore, we derive the convergence rate
for the Tikhonov regularized solution with an easily satisfied source condition. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
ISSN: | 0928-0219 1569-3945 |
DOI: | 10.1515/jiip-2024-0057 |