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Inverse problem of shape identification from boundary measurement for Stokes equations: Shape differentiability of Lagrangian Full article

Journal Journal of Inverse and Ill-Posed Problems
ISSN: 0928-0219
Output data Year: 2021, Volume: 30, Number: 4, Pages: 461-474 Pages count : 14 DOI: 10.1515/jiip-2020-0081
Tags adjoint state; incompressibility; inverse identification problem; Lagrangian; saddle-point problem; shape derivative; state-constrained optimization; Stokes flow
Authors Kovtunenko Victor A. 1,2 , Ohtsuka Kohji 3
Affiliations
1 Institute of Hydrodynamics SB RAS
2 Institute for Mathematics and Scientific Computing, University of Graz,
3 Faculty of Information Design and Sociology, Hiroshima Kokusai Gakuin University

Abstract: For Stokes equations under divergence-free and mixed boundary conditions, the inverse problem of shape identification from boundary measurement is investigated. Taking the least-square misfit as an objective function, the state-constrained optimization is treated by using an adjoint state within the Lagrange approach. The directional differentiability of a Lagrangian function with respect to shape variations is proved within the velocity method, and a Hadamard representation of the shape derivative by boundary integrals is derived explicitly. The application to gradient descent methods of iterative optimization is discussed.
Cite: Kovtunenko V.A. , Ohtsuka K.
Inverse problem of shape identification from boundary measurement for Stokes equations: Shape differentiability of Lagrangian
Journal of Inverse and Ill-Posed Problems. 2021. V.30. N4. P.461-474. DOI: 10.1515/jiip-2020-0081 WOS Scopus РИНЦ OpenAlex
Identifiers:
Web of science: WOS:000835425000001
Scopus: 2-s2.0-85098884497
Elibrary: 45025158
OpenAlex: W3118130805
Citing:
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Scopus 2
Web of science 2
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