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In this paper we prove the local boundedness as well as the local Lipschitz continuity for solutions to a class of obstacle problems of the type $$\min\left\{\int_\Omega {F(x, Dz)}: z\in \mathcal{K}_{\psi}(\Omega)\right\}.$$ Here…

Analysis of PDEs · Mathematics 2023-05-25 Michele Caselli , Michela Eleuteri , Antonia Passarelli di Napoli

We study a singularly perturbed problem related to infinity Laplacian operator with prescribed boundary values in a region. We prove that solutions are locally (uniformly) Lipschitz continuous, they grow as a linear function, are strongly…

Analysis of PDEs · Mathematics 2016-10-28 Gleydson Chaves Ricarte , João Vítor da Silva , Rafayel Teymurazyan

In the context of structured nonconvex optimization, we estimate the increase in minimum value for a decision that is robust to parameter perturbations as compared to the value of a nominal problem. The estimates rely on detailed…

Optimization and Control · Mathematics 2022-11-22 Johannes O. Royset

We use the framework of a type of abstract convexity ($\Phi_{lsc}$-convexity) to investigate properties of lower semicontinuous quadratically minorized functions in Hilbert spaces. A new result, which states that, for every local…

Optimization and Control · Mathematics 2020-04-13 Monika Syga

We prove the existence of an open set minimizing the first Dirichlet eigenvalue of an elliptic operator with bounded, measurable coefficients, over all open sets of a given measure. Our proof is based on a free boundary approach: we…

Analysis of PDEs · Mathematics 2024-03-12 Stanley Snelson , Eduardo V. Teixeira

We start presenting an $L^{\infty}$-gradient bound for solutions to non-homogeneous $p$-Laplacean type systems and equations, via suitable non-linear potentials of the right hand side. Such a bound implies a Lorentz space characterization…

Analysis of PDEs · Mathematics 2015-05-14 Frank Duzaar , Giuseppe Mingione

We establish $\mathrm{W}^{1,1}$-regularity and higher gradient integrability for relaxed minimizers of convex integral functionals on $\mathrm{BV}$. Unlike classical examples such as the minimal surface integrand, we only require linear…

Analysis of PDEs · Mathematics 2026-02-02 Lisa Beck , Franz Gmeineder , Mathias Schäffner

We prove higher integrability for local minimizers of the double-phase orthotropic functional \[ \sum_{i=1}^{n}\int_\Omega\left(\left|u_{x_i}\right|^p+a(x)\left| u_{x_i}\right|^q\right)dx \] when the weight function $a \geq0$ is assumed to…

Analysis of PDEs · Mathematics 2025-07-25 Stefano Almi , Chiara Leone , Gianluigi Manzo

In our work we study non-variational, nonlinear singularly perturbed elliptic models enjoying a double degeneracy character with prescribed boundary value in a domain. In such a scenario, we establish the existence of solutions. We also…

Analysis of PDEs · Mathematics 2024-04-17 João V. Silva , Elzon C. Júnior , Gleydson C. Ricarte

We prove local $C^{0,\alpha}$- and $C^{1,\alpha}$-regularity for the local solution to an obstacle problem with non-standard growth. These results cover as special cases standard, variable exponent, double phase and Orlicz growth.

Analysis of PDEs · Mathematics 2021-02-25 Arttu Karppinen , Mikyoung Lee

Many elliptic boundary value problems exhibit an interior regularity property, which can be exploited to construct local approximation spaces that converge exponentially within function spaces satisfying this property. These spaces can be…

Numerical Analysis · Mathematics 2025-07-04 S. Aziz , M. Bauer , M. Bebendorf , T. Rau

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 area functional for t-graphs in the sub-Riemannian Heisenberg group and study minimizers of the associated Dirichlet problem. We prove that, under a bounded slope condition on the boundary datum, there exists a unique…

Metric Geometry · Mathematics 2013-10-29 Andrea Pinamonti , Francesco Serra Cassano , Giulia Treu , Davide Vittone

We revisit the question of regularity for minimizers of scalar autonomous integral functionals with so-called $(p,q)$-growth. In particular, we establish Lipschitz regularity under the condition $\frac{q}p<1+\frac{2}{n-1}$ for $n\geq3$…

Analysis of PDEs · Mathematics 2020-11-18 Peter Bella , Mathias Schäffner

We study minimizers of non-differentiable functionals modeled on the degenerate quenching problem. Our main result establishes the finiteness of the $(n-1)-$dimensional Hausdorff measure of the free boundary. The proof is based on optimal…

Analysis of PDEs · Mathematics 2026-02-19 Damião J. Araújo , Rafayel Teymurazyan , José Miguel Urbano

For a fixed constant $\lambda > 0$ and a bounded Lipschitz domain $\Omega \subset \mathbb{R}^n$ with $n \geq 2$, we establish that almost-minimizers (functions satisfying a sort of variational inequality) of the Alt-Caffarelli type…

Analysis of PDEs · Mathematics 2026-01-08 Pedro Fellype Pontes , João Vitor da Silva , Minbo Yang

We give a survey of results regarding existence and regularity for autonomous functionals of linear growth that depend on the symmetric rather than the full gradients.

Analysis of PDEs · Mathematics 2016-10-28 Franz Gmeineder

In the paper we introduce Orlicz type functional spaces defined in terms of nonlocal convolution type integral functionals and study the main properties of these spaces. We show in particular that, under natural convexity and growth…

Functional Analysis · Mathematics 2026-03-03 Denis Borisov , Andrey Piatnitski

We study a family of (potentially non-convex) constrained optimization problems with convex composite structure. Through a novel analysis of non-smooth geometry, we show that proximal-type algorithms applied to exact penalty formulations of…

Optimization and Control · Mathematics 2019-03-04 Yu Bai , John Duchi , Song Mei

This paper focuses on investigating an inexact stochastic model-based optimization algorithm that integrates preconditioning techniques for solving stochastic composite optimization problems. The proposed framework unifies and extends the…

Optimization and Control · Mathematics 2025-12-12 Chenglong Bao , Yancheng Yuan , Shulan Zhu
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