Shape sensitivity measures the impact of small perturbations of geometric features of a problem on certain quantities of interest. The shape sensitivity of PDE (partial differential equation) constrained output functionals is derived with the help of shape gradients. In electromagnetic scattering problems, the standard procedure of the Lagrangian approach cannot be applied because of solution of the state problem is complex valued. We derive a closed-form formula of the shape gradient of a generic output functional constrained by Maxwell's equations. We employ cubic B-splines to model local deformations of the geometry and derive sensitivity probings over the surface of the scatterer. We also define a sensitivity representative function ove...
The unifying theme of this thesis is that of light scattering by particles, using computational appr...
A numerical study of the electromagnetic detection of buried metallic objects is presented. The num...
Sensitivity analysis belongs to the most important tools in optimization theory. It determines the d...
Shape sensitivity measures the impact of small perturbations of geometric features of a problem on c...
International audienceThe shape sensitivity analysis for hyperbolic problems yields some specific co...
International audienceWe address the question of evaluating shape derivatives of objective functions...
International audienceWe address the question of evaluating shape derivatives of objective functions...
The paper presents a theoretical framework for the shape sensitivity analysis of systems governed by...
This thesis uses a continuum formulation of sensitivity for shape optimization in two-dimensional mi...
We investigate the shape dependence of the scattering by dielectric and metallic particles on surfac...
A method evaluating the sensitivity of a given parameter to topological changes is proposed within t...
An analytical theory to estimate the electronic work function in curved geometries is formulated und...
In this thesis, a gradient-based method for shape and material optimization for two antenna applicat...
An analytical theory to estimate the electronic work function in curved geometries is formulated und...
We propose and test a gradient-based shape optimization algorithm for the total scattering cross sec...
The unifying theme of this thesis is that of light scattering by particles, using computational appr...
A numerical study of the electromagnetic detection of buried metallic objects is presented. The num...
Sensitivity analysis belongs to the most important tools in optimization theory. It determines the d...
Shape sensitivity measures the impact of small perturbations of geometric features of a problem on c...
International audienceThe shape sensitivity analysis for hyperbolic problems yields some specific co...
International audienceWe address the question of evaluating shape derivatives of objective functions...
International audienceWe address the question of evaluating shape derivatives of objective functions...
The paper presents a theoretical framework for the shape sensitivity analysis of systems governed by...
This thesis uses a continuum formulation of sensitivity for shape optimization in two-dimensional mi...
We investigate the shape dependence of the scattering by dielectric and metallic particles on surfac...
A method evaluating the sensitivity of a given parameter to topological changes is proposed within t...
An analytical theory to estimate the electronic work function in curved geometries is formulated und...
In this thesis, a gradient-based method for shape and material optimization for two antenna applicat...
An analytical theory to estimate the electronic work function in curved geometries is formulated und...
We propose and test a gradient-based shape optimization algorithm for the total scattering cross sec...
The unifying theme of this thesis is that of light scattering by particles, using computational appr...
A numerical study of the electromagnetic detection of buried metallic objects is presented. The num...
Sensitivity analysis belongs to the most important tools in optimization theory. It determines the d...