Regularity in shape optimization under convexity constraint
نویسندگان
چکیده
This paper is concerned with the regularity of shape optimizers a class isoperimetric problems under convexity constraint. We prove that minimizers sum perimeter and perturbative term, among convex shapes, are $$C^{1,1}$$ -regular. To end, we define notion quasi-minimizer fitted to context show any such The proof relies on cutting procedure which was introduced similar results in calculus variations context. Using penalization method able treat volume constraint, showing same this case. go through some examples taken from PDE theory, when term type, large fit into our -regularity result. Finally provide counter-example cannot expect higher general.
منابع مشابه
Regularity classes for operations in convexity theory
We introduce regularity classes which are adapted to the most important operations in convexity theory. They are typically between C and C.
متن کاملOptimization of the Shape of an Electromagnet: Regularity
In this paper we study the regularity of the solution of an elliptic partial di erential equation with discontinuous coe cients. This result is used to establish the continuous Fr echet di erentiability of a shape functional arising in the optimal shape design of an electromagnet.
متن کاملMetric Regularity in Convex Semi-Infinite Optimization under Canonical Perturbations
This paper is concerned with the Lipschitzian behavior of the optimal set of convex semi-infinite optimization problems under continuous perturbations of the right hand side of the constraints and linear perturbations of the objective function. In this framework we provide a sufficient condition for the metric regularity of the inverse of the optimal set mapping. This condition consists of the ...
متن کاملShape Partitioning by Convexity
The partitioning of 2D shapes into subparts is an important component of shape analysis. This paper de nes a formulation of convexity as a criterion of good part decomposition. It's appropriateness is validated by applying it to some simple shapes as well as against showing its close correspondence with Ho man and Singh's part saliency factors.
متن کاملProduction Optimization under Uncertainty with Constraint Handling
To maximize the daily production from an oil and gas field, mathematical optimization may be used to find the optimal operating point. When optimizing, a model of the system is used to predict the outcome for different operating points. The model is, however, subject to uncertainty, e.g., the gas oil ratio estimates may be imprecise. The uncertainty is often ignored, and what is known as the ex...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Calculus of Variations and Partial Differential Equations
سال: 2023
ISSN: ['0944-2669', '1432-0835']
DOI: https://doi.org/10.1007/s00526-023-02440-7