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In this paper, we investigate optimal boundary control problems for Cahn-Hilliard variational inequalities with a dynamic boundary condition involving double obstacle potentials and the Laplace-Beltrami operator. The cost functional is of…

Analysis of PDEs · Mathematics 2014-09-29 Pierluigi Colli , M. Hassan Farshbaf-Shaker , Gianni Gilardi , Jürgen Sprekels

For the parabolic obstacle-problem-like equation $$\Delta u - \partial_t u = \lambda_+ \chi_{\{u>0\}} - \lambda_- \chi_{\{u<0\}} ,$$ where $\lambda_+$ and $\lambda_-$ are positive Lipschitz functions, we prove in arbitrary finite dimension…

Analysis of PDEs · Mathematics 2007-12-21 Henrik Shahgholian , Nina Uraltseva , Georg S. Weiss

In this paper we study the conditioning of optimal control problems constrained by linear parabolic equations with Neumann boundary conditions. While we concentrate on a given end-time target function the results hold also when the target…

Numerical Analysis · Mathematics 2025-03-24 Luise Blank

This paper considers stochastic weakly convex optimization without the standard Lipschitz continuity assumption. Based on new adaptive regularization (stepsize) strategies, we show that a wide class of stochastic algorithms, including the…

Optimization and Control · Mathematics 2024-11-07 Wenzhi Gao , Qi Deng

We consider the setting of stochastic bandit problems with a continuum of arms. We first point out that the strategies considered so far in the literature only provided theoretical guarantees of the form: given some tuning parameters, the…

Statistics Theory · Mathematics 2011-07-18 Sébastien Bubeck , Gilles Stoltz , Jia Yuan Yu

We find minimal regularity conditions on the coefficients of a parabolic operator, ensuring that no nontrivial solution tends to zero faster than any exponential.

Analysis of PDEs · Mathematics 2007-05-23 D. Del Santo , M. Prizzi

In the last decades, control problems with infinite horizons and discount factors have become increasingly central not only for economics but also for applications in artificial intelligence and machine learning. The strong links between…

Optimization and Control · Mathematics 2023-10-25 Vincenzo Basco

This paper deals with the Lipschitz regularity of minimizers for a class of variational obstacle problems with possible occurance of the Lavrentiev phenomenon. In order to overcome this problem, the availment of the notions of relaxed…

Analysis of PDEs · Mathematics 2021-02-26 Giacomo Bertazzoni , Samuele Riccò

Motivated, in particular, by the entropy-regularized optimal transport problem, we consider convex optimization problems with linear equality constraints, where the dual objective has Lipschitz $p$-th order derivatives, and develop two…

Optimization and Control · Mathematics 2023-08-11 Pavel Dvurechensky , Petr Ostroukhov , Alexander Gasnikov , César A. Uribe , Anastasiya Ivanova

Entropic Brenier maps are regularized analogues of Brenier maps (optimal transport maps) which converge to Brenier maps as the regularization parameter shrinks. In this work, we prove quantitative stability bounds between entropic Brenier…

Probability · Mathematics 2024-04-04 Vincent Divol , Jonathan Niles-Weed , Aram-Alexandre Pooladian

As a starting point of our research, we show that, for a fixed order $\gamma\geq 1$, each local minimizer of a rather general nonsmooth optimization problem in Euclidean spaces is either M-stationary in the classical sense (corresponding to…

Optimization and Control · Mathematics 2024-02-27 Matúš Benko , Patrick Mehlitz

This paper studies minimax optimization problems $\min_x \max_y f(x,y)$, where $f(x,y)$ is $m_x$-strongly convex with respect to $x$, $m_y$-strongly concave with respect to $y$ and $(L_x,L_{xy},L_y)$-smooth. Zhang et al. provided the…

Machine Learning · Computer Science 2020-10-20 Yuanhao Wang , Jian Li

Most of lipschitz regularity results for nonlinear strictly elliptic equations are obtained for a suitable growth power of the nonlinearity with respect to the gradient variable (subquadratic for instance). For equations with superquadratic…

Analysis of PDEs · Mathematics 2016-07-14 Olivier Ley , Vinh Duc Nguyen

This paper presents a general description of a parameter estimation inverse problem for systems governed by nonlinear differential equations. The inverse problem is presented using optimal control tools with state constraints, where the…

Numerical Analysis · Mathematics 2018-06-28 Mohamed Kamel Riahi , Issam Al Qattan

This survey hinges on the interplay between regularity and approximation for linear and quasi-linear fractional elliptic problems on Lipschitz domains. For the linear Dirichlet integral Laplacian, after briefly recalling H\"older regularity…

Numerical Analysis · Mathematics 2023-01-02 Juan Pablo Borthagaray , Wenbo Li , Ricardo H. Nochetto

We consider the optimal control problem associated with a general version of the well known shallow lake model, and we prove the existence of an optimum in the class $L_{loc}^{1}\left(0,+\infty\right)$. Any direct proof seems to be missing…

Optimization and Control · Mathematics 2017-12-27 Francesco Bartaloni

In terms of layer potential methods, this paper is devoted to study the $L^2$ boundary value problems for nonhomogeneous elliptic operators with rapidly oscillating coefficients in a periodic setting. Under a low regularity assumption on…

Analysis of PDEs · Mathematics 2018-01-30 Qiang Xu , Peihao Zhao , Shulin Zhou

We show that a necessary and sufficient condition for a smooth function on the tangent bundle of a manifold to be a Lagrangian density whose action can be minimized is, roughly speaking, that it be the sum of a constant, a nonnegative…

Optimization and Control · Mathematics 2021-12-03 Rodolfo Rios-Zertuche

We study a generalization of the manifold-valued Rudin-Osher-Fatemi (ROF) model, which involves an initial datum $f$ mapping from a curved compact surface with smooth boundary to a complete, connected and smooth $n$-dimensional Riemannian…

Analysis of PDEs · Mathematics 2026-03-31 Esther Cabezas-Rivas , Salvador Moll , Vicent Pallardó-Julià

We are interested in the optimal control problem associated with certain quadratic cost functionals depending on the solution $X=X^\alpha$ of the stochastic mean-field type evolution equation in $\mathbb R^d$ $dX_t=b(t,X_t,\mathcal…

Probability · Mathematics 2020-07-06 Antoine Hocquet , Alexander Vogler