Coupling sampling methods and shape optimization methods for inverse scattering problems

We consider the problem of determining the shape of a 2d object from measurements of the electromagnetic far-field it scattered. We develop couplings by considering sampling methods and shape optimization methods in the framework of perfect conductors and dielectric objects. After finding the shape gradients (first or second order) and/or topological gradient and performing scilab/Fortran numerical tests in both frameworks, this thesis allowed to build an accurate and robust LSM-DGLS2-GT coupling with a moderate computational cost. We also investigate other types of functionals to minimize and calculate the second shape gradient (which is difficult to obtain in a convenient form for implementation) in order to get a better convergence rate.

Data and Resources

Additional Info

Field Value
Source https://pastel.hal.science/pastel-00761675
Author Nicolas, Dimitri
Maintainer CCSD
Last Updated June 1, 2026, 21:48 (UTC)
Created June 1, 2026, 21:48 (UTC)
Identifier pastel-00761675
Language fr
Rights https://about.hal.science/hal-authorisation-v1/
contributor Centre de Mathématiques Appliquées de l'Ecole polytechnique (CMAP) ; Institut National de Recherche en Informatique et en Automatique (Inria)-École polytechnique (X) ; Institut Polytechnique de Paris (IP Paris)-Institut Polytechnique de Paris (IP Paris)-Centre National de la Recherche Scientifique (CNRS)
creator Nicolas, Dimitri
date 2012-11-28T00:00:00
harvest_object_id ac9b0ef7-2161-40fd-b1a6-5d196d1184bf
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2025-09-02T00:00:00
set_spec type:THESE