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Bounded minimizers of double phase problems at nearly linear growth have locally H\"older continuous gradient within the sharp maximal nonuniformity range $q<1+\alpha$.

偏微分方程分析 · 数学 2024-11-22 Cristiana De Filippis , Filomena De Filippis , Mirco Piccinini

We revisit the question of existence and regularity of minimizers to weighted least gradient problems on a fixed bounded domain, subject to a Dirichlet boundary condition, in the case where the boundary data is continuous and the weight…

偏微分方程分析 · 数学 2019-01-23 Andres Zuniga

Bilevel optimization has recently regained interest owing to its applications in emerging machine learning fields such as hyperparameter optimization, meta-learning, and reinforcement learning. Recent results have shown that simple…

最优化与控制 · 数学 2023-10-09 Quan Xiao , Songtao Lu , Tianyi Chen

We consider a one-phase nonlocal free boundary problem obtained by the superposition of a fractional Dirichlet energy plus a nonlocal perimeter functional. We prove that the minimizers are H\"older continuous and the free boundary has…

偏微分方程分析 · 数学 2016-10-28 Serena Dipierro , Enrico Valdinoci

The aim of this paper is to study the heterogeneous optimization problem \begin{align*} \mathcal {J}(u)=\int_{\Omega}(G(|\nabla u|)+qF(u^+)+hu+\lambda_{+}\chi_{\{u>0\}} )\text{d}x\rightarrow\text{min}, \end{align*} in the class of functions…

偏微分方程分析 · 数学 2018-11-19 Jun Zheng , Leandro S. Tavares , Claudianor O. Alves

Under various conditions on the data we analyse how appearence of lower order terms affects the gradient estimates on solutions to a general nonlinear elliptic equation of the form \[-{\rm div}\, a(x,Du)+b(x,u)=\mu\] with data $\mu$ not…

偏微分方程分析 · 数学 2019-02-15 Iwona Chlebicka

We provide new general methods in the calculus of variations for the anisotropic Plateau problem in arbitrary dimension and codimension. A new direct proof of Almgren's 1968 existence result is presented; namely, we produce from a class of…

偏微分方程分析 · 数学 2017-01-25 Jenny Harrison , Harrison Pugh

We explore why many recently proposed robust estimation problems are efficiently solvable, even though the underlying optimization problems are non-convex. We study the loss landscape of these robust estimation problems, and identify the…

机器学习 · 统计学 2020-05-29 Banghua Zhu , Jiantao Jiao , Jacob Steinhardt

In this article we introduce a new scale of weighted Orlicz-Sobolev sequence spaces generated by a class of suitable Orlicz functions and prove various continuity and compactness criteria for them. In a nutshell, continuity is a consequence…

泛函分析 · 数学 2025-03-26 Pierre-A. Vuillermot

We show that a class of divergence-form elliptic problems with quadratic growth in the gradient and non-coercive zero order terms are solvable, under essentially optimal hypotheses on the coefficients in the equation. In addition, we prove…

偏微分方程分析 · 数学 2012-10-25 Louis Jeanjean , Boyan Sirakov

In this paper, the Orlicz addition of measures is proposed and an interpretation of the $f$-divergence is provided based on a linear Orlicz addition of two measures. Fundamental inequalities, such as, a dual functional…

度量几何 · 数学 2016-06-08 Shaoxiong Hou , Deping Ye

Bilevel optimization and bilevel minimax optimization have recently emerged as unifying frameworks for a range of machine-learning tasks, including hyperparameter optimization and reinforcement learning. The existing literature focuses on…

机器学习 · 计算机科学 2026-04-23 Xuelin Zhang , Peipei Yuan

We study the consequences of the equivalence between the least gradient problem and a boundary-to-boundary optimal transport problem in two dimensions. We extend the relationship between the two problems to their respective dual problems,…

偏微分方程分析 · 数学 2021-02-12 Wojciech Górny

In this note we prove that on metric measure spaces, functions of least gradient, as well as local minimizers of the area functional (after modification on a set of measure zero) are continuous everywhere outside their jump sets. As a tool,…

度量几何 · 数学 2014-10-10 Heikki Hakkarainen , Riikka Korte , Panu Lahti , Nageswari Shanmugalingam

We give new characterizations of growth conditions at strict local minimizers. The main characterizations are a variant of the so-called tilt stability property and an analog of the classical Polyak--\L{}ojasiewicz condition, where the…

最优化与控制 · 数学 2026-02-11 Alberto Domínguez Corella , Trí Minh Lê

We study the gradient regularity of solutions to measure data elliptic systems with Uhlenbeck-type structure and Orlicz growth. For any bounded Borel measure, pointwise estimates for the gradient of solutions are provided in terms of the…

偏微分方程分析 · 数学 2023-07-31 Iwona Chlebicka , Minhyun Kim , Marvin Weidner

In this paper we consider a class of obstacle problems of the type %\begin{equation*} %\int_{\Omega}\left<A(x, Du), D(\varphi-u)\right> \, \dx\ge0\qquad\forall %\varphi\in W^{1,q}(\Omega) \quad {\mathrm{s.t.}} \quad \varphi \ge \psi…

偏微分方程分析 · 数学 2021-10-20 Andrea Gentile , Raffaella Giova , Andrea Torricelli

Recent quasi-optimal error estimates for the finite element approximation of total-variation regularized minimization problems require the existence of a Lipschitz continuous dual solution. We discuss the validity of this condition and…

数值分析 · 数学 2021-06-28 Sören Bartels , Robert Tovey , Friedrich Wassmer

We study unbounded weak supersolutions of elliptic partial differential equations with generalized Orlicz (Musielak--Orlicz) growth. We show that they satisfy the weak Harnack inequality with optimal exponent provided that they belong to a…

偏微分方程分析 · 数学 2021-05-27 Allami Benyaiche , Petteri Harjulehto , Peter Hästö , Arttu Karppinen

In this paper, Lipschitz univariate constrained global optimization problems where both the objective function and constraints can be multiextremal are considered. The constrained problem is reduced to a discontinuous unconstrained problem…

最优化与控制 · 数学 2015-03-19 Yaroslav D. Sergeyev , Domenico Famularo , Paolo Pugliese