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We introduce the problem of minimal actuator placement in a linear control system so that a bound on the minimum control effort for a given state transfer is satisfied while controllability is ensured. We first show that this is an NP-hard…

Systems and Control · Computer Science 2015-03-17 Vasileios Tzoumas , Mohammad Amin Rahimian , George J. Pappas , Ali Jadbabaie

Methodology is provided towards the solution of the minimum enclosing ball problem. This problem concerns the determination of the unique spherical surface of smallest radius enclosing a given bounded set in the d-dimensional Euclidean…

Computational Geometry · Computer Science 2024-10-16 Michael N. Vrahatis

We study the finite element approximation of the solid isotropic material with penalization method (SIMP) for the topology optimization problem of minimizing the compliance of a linearly elastic structure. To ensure the existence of a local…

Numerical Analysis · Mathematics 2024-11-21 Ioannis P. A. Papadopoulos

The paper presents results about strong metric subregularity of the optimality mapping associated with the system of first-order necessary optimality conditions for a problem of optimal control of a semilinear parabolic equation. The…

Optimization and Control · Mathematics 2025-11-19 Alberto Domínguez Corella , Nicolai Jork , Vladimir M. Veliov

In Verification and in (optimal) AI Planning, a successful method is to formulate the application as boolean satisfiability (SAT), and solve it with state-of-the-art DPLL-based procedures. There is a lack of understanding of why this works…

Artificial Intelligence · Computer Science 2017-01-11 Joerg Hoffmann , Carla Gomes , Bart Selman

This paper is concerned with the derivation of necessary conditions for the optimal shape of a design problem governed by a non-smooth PDE. The main particularity thereof is the lack of differentiability of the nonlinearity in the state…

Optimization and Control · Mathematics 2024-09-24 Livia Betz

Nonconvex functionals with spherical symmetry are studied. Existence of one and radial symmetry of all global minimizers is shown with an approach based on convex relaxation.

Classical Analysis and ODEs · Mathematics 2007-05-23 Stefan Krömer

Mean field optimal control problems are a class of optimization problems that arise from optimal control when applied to the many body setting. In the noisy case one has a set of controllable stochastic processes and a cost function that is…

Optimization and Control · Mathematics 2021-08-11 Pierfrancesco Urbani

We study the asymptotic Plateau problem in $\BHH$ for area minimizing surfaces, and give a fairly complete solution for finite curves.

Differential Geometry · Mathematics 2023-08-07 Baris Coskunuzer

Motivated by the central role played by rotationally symmetric distributions in directional statistics, we consider the problem of testing rotational symmetry on the hypersphere. We adopt a semiparametric approach and tackle problems where…

Methodology · Statistics 2021-04-27 Eduardo García-Portugués , Davy Paindaveine , Thomas Verdebout

The minimization of energy-like cost functionals is addressed in the context of optimal control problems. For a general class of dynamical systems, with possibly unstable and nonlinear free dynamics, it is shown that a sequence of solutions…

Optimization and Control · Mathematics 2022-12-06 Sérgio S. Rodrigues

In this paper, we are interested in the analysis of a well-known free boundary/shape optimization problem motivated by some issues arising in population dynamics. The question is to determine optimal spatial arrangements of favorable and…

Analysis of PDEs · Mathematics 2016-11-15 Jimmy Lamboley , Antoine Laurain , Grégoire Nadin , Yannick Privat

We study the problem of finding approximate first-order stationary points in optimization problems of the form $\min_{x \in X} \max_{y \in Y} f(x,y)$, where the sets $X,Y$ are convex and $Y$ is compact. The objective function $f$ is smooth,…

Optimization and Control · Mathematics 2021-10-11 Dmitrii M. Ostrovskii , Babak Barazandeh , Meisam Razaviyayn

Consider an oracle which takes a point $x$ and returns the minimizer of a convex function $f$ in an $\ell_2$ ball of radius $r$ around $x$. It is straightforward to show that roughly $r^{-1}\log\frac{1}{\epsilon}$ calls to the oracle…

Optimization and Control · Mathematics 2020-03-19 Yair Carmon , Arun Jambulapati , Qijia Jiang , Yujia Jin , Yin Tat Lee , Aaron Sidford , Kevin Tian

We prove the -- to the best knowledge of the authors -- first result on the fine asymptotic behavior of the regular part of the free boundary of the obstacle problem close to singularities. The result is motivated by our recent partial…

Analysis of PDEs · Mathematics 2023-10-18 Simon Eberle , Henrik Shahgholian , Georg Sebastian Weiss

In this paper, we develop a systematical approach in applying an asymptotic method of moving planes to investigate qualitative properties of positive solutions for fractional parabolic equations. We first obtain a series of needed key…

Analysis of PDEs · Mathematics 2020-06-26 Wenxiong Chen , Pengyan Wang , Yahui Niu , Yunyun Hu

We use a gap function in order to compare the torsional performances of different reinforced plates under the action of external forces. Then, we address a shape optimization problem, whose target is to minimize the torsional displacements…

Analysis of PDEs · Mathematics 2018-03-29 Elvise Berchio , Davide Buoso , Filippo Gazzola , Davide Zucco

We introduce functions for relative maximization in a general context: the beta and alpha applications. After a systematic study concerning regularities, we investigate how to approximate certain values of these functions using periodic…

Dynamical Systems · Mathematics 2007-05-23 Eduardo Garibaldi , Artur O. Lopes

Some variational problems for a Foppl-von Karman plate subject to general equilibrated loads are studied. The existence of global minimizers is proved under the assumption that the out-of-plane displacement fulfils homogeneous Dirichlet…

Optimization and Control · Mathematics 2018-01-17 Francesco Maddalena , Danilo Percivale , Franco Tomarelli

We discuss a general approach to building non-asymptotic confidence bounds for stochastic optimization problems. Our principal contribution is the observation that a Sample Average Approximation of a problem supplies upper and lower bounds…

Optimization and Control · Mathematics 2016-12-13 Vincent Guigues , Anatoli Juditsky , Arkadi Nemirovski