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We consider the efficient numerical minimization of Tikhonov functionals with nonlinear operators and non-smooth and non-convex penalty terms, which appear for example in variational regularization. For this, we consider a new class of SCD…

Numerical Analysis · Mathematics 2024-10-18 Helmut Gfrerer , Simon Hubmer , Ronny Ramlau

This doctoral thesis is devoted to the analysis of some minimization problems that involve nonlocal functionals. We are mainly concerned with the $s$-fractional perimeter and its minimizers, the $s$-minimal sets. We investigate the behavior…

Analysis of PDEs · Mathematics 2018-12-05 Luca Lombardini

This paper considers a class of nonlocal fractional neutral stochastic integrodifferential inclusions of order $1<\alpha<2$ with impulses in a Hilbert space. We study the existence of the mild solution for the cases when the multi-valued…

Dynamical Systems · Mathematics 2023-11-30 Asma Afreen , Abdur Raheem , Areefa Khatoon

A convincing feature of least-squares finite element methods is the built-in a posteriori error estimator for any conforming discretization. In order to generalize this property to discontinuous finite element ansatz functions, this paper…

Numerical Analysis · Mathematics 2025-02-18 Philipp Bringmann

We prove lower bounds for the error of optimal cubature formulae for $d$-variate functions from Besov spaces of mixed smoothness $B^{\alpha}_{p,\theta}({\mathbb G}^d)$ in the case $0 < p, \theta \le \infty$ and $\alpha > 1/p$, where…

Numerical Analysis · Mathematics 2014-01-30 Dinh Dũng , Tino Ullrich

We prove that if $(u,\Gamma)$ is a minimizer of the functional $$ J(u,\Gamma)=\int_{B_1(0)\setminus \Gamma}|\nabla u|^2dx +\H^1(\Gamma) $$ and $\Gamma$ connects $\partial B_1(0)$ to a point in the interior, then $\Gamma$ satisfies a…

Analysis of PDEs · Mathematics 2019-05-23 John Andersson , Hayk Mikayelyan

We analyze the $\Gamma$-convergence of sequences of free-discontinuity functionals arising in the modeling of linear elastic solids with surface discontinuities, including phenomena as fracture, damage, or material voids. We prove…

Analysis of PDEs · Mathematics 2020-10-15 Manuel Friedrich , Matteo Perugini , Francesco Solombrino

In this article we build a null-Lagrangian and a calibration for general nonlocal elliptic functionals in the presence of a field of extremals. Thus, our construction assumes the existence of a family of solutions to the Euler-Lagrange…

Analysis of PDEs · Mathematics 2025-05-28 Xavier Cabre , Iñigo U. Erneta , Juan-Carlos Felipe-Navarro

In this paper, we study integral functionals defined on spaces of functions with values on general (non-separable) Banach spaces. We introduce a new class of integrands and multifunctions for which we obtain measurable selection results.…

Optimization and Control · Mathematics 2022-08-10 Juan Guillermo Garrido , Pedro Pérez-Aros , Emilio Vilches

We show that metrics that maximize the k-th Steklov eigenvalue on surfaces with boundary arise from free boundary minimal surfaces in the unit ball. We prove several properties of the volumes of these minimal submanifolds. For free boundary…

Differential Geometry · Mathematics 2013-04-04 Ailana Fraser , Richard Schoen

We present a novel Monte Carlo based LSV calibration algorithm that applies to all stochastic volatility models, including the non-Markovian rough volatility family. Our framework overcomes the limitations of the particle method proposed by…

Mathematical Finance · Quantitative Finance 2019-10-01 Aitor Muguruza

Let $M$ and $N$ be compact smooth oriented Riemannian $n$-manifolds without boundary embedded in $\mathbb{R}^{n+1}$. Several problems about minimal distortion bending and morphing of $M$ to $N$ are posed. Cost functionals that measure…

Optimization and Control · Mathematics 2007-09-03 Oksana Bihun , Carmen Chicone

We consider four prototypes of variational problems and prove the existence of fractal minimizers through the direct method in the calculus of variations. By design these minimizers are H\"older curves or H\"older parametrizations of…

Probability · Mathematics 2025-12-17 Michael Hinz , Jonas M. Tölle , Lauri Viitasaari

In this paper, we derive optimality conditions (Chebyshev approximation) for multivariate functions. The theory of Chebyshev (uniform) approximation for univariate functions is very elegant. The optimality conditions are based on the notion…

Optimization and Control · Mathematics 2015-10-22 Nadezda Sukhorukova , Julien Ugon , David Yost

We study minimal integrability conditions via Luxemburg-type expressions with respect to generalized oscillations that imply the membership of a given function $f$ to the space BMO. Our method is simple, sharp and flexible enough to be…

Classical Analysis and ODEs · Mathematics 2020-07-21 Javier Canto , Carlos Perez , Ezequiel Rela

We study an optimal partition problem on the sphere, where the cost functional is associated with the fractional $Q$-curvature in terms of the conformal fractional Laplacian on the sphere. By leveraging symmetries, we prove the existence of…

Analysis of PDEs · Mathematics 2025-04-24 Héctor A. Chang-Lara , Juan Carlos Fernández , Alberto Saldaña

This paper concerns the minimization of the composition of a nonsmooth convex function and a $\mathcal{C}^{1,1}$ mapping $F$ over a $\mathcal{C}^2$-smooth embedded closed submanifold $\mathcal{M}$. For this class of nonconvex and nonsmooth…

Optimization and Control · Mathematics 2026-05-12 Hao He , Ruyu Liu , Yitian Qian , Shaohua Pan

The recent literature has intensively studied two classes of nonlocal variational problems, namely the ones related to the minimisation of energy functionals that act on functions in suitable Sobolev-Gagliardo spaces, and the ones related…

Analysis of PDEs · Mathematics 2020-09-15 Claudia Bucur , Serena Dipierro , Luca Lombardini , Enrico Valdinoci

The paper is devoted to the variational analysis of the Willmore, and other L^2 curvature functionals, among immersions of 2-dimensional surfaces into a compact riemannian m-manifold (M^m,h) with m>2. The goal of the paper is twofold, on…

Analysis of PDEs · Mathematics 2020-02-12 Andrea Mondino , Tristan Rivière

We develop a novel and single-loop variance-reduced algorithm to solve a class of stochastic nonconvex-convex minimax problems involving a nonconvex-linear objective function, which has various applications in different fields such as…

Optimization and Control · Mathematics 2020-10-27 Quoc Tran-Dinh , Deyi Liu , Lam M. Nguyen