English
Related papers

Related papers: On global properties of lower semicontinuous quadr…

200 papers

Let f be local diffeomorphism between real Banach spaces. We prove that if the locally Lipschitz functional F(x)=1/2|f(x)-y|^2 satisfies the Chang Palais-Smale condition for all y in the target space of f, then f is a norm-coercive global…

Functional Analysis · Mathematics 2018-11-09 Olivia Gutú

We discuss a special class of solutions to the minimal surface system. These are vector-valued functions that "decrease area" and are natural generalization of scalar functions. After defining area-decreasing maps, we show several classical…

Differential Geometry · Mathematics 2007-05-23 Mu-Tao Wang

We consider a composite optimization problem where the sum of a continuously differentiable and a merely lower semicontinuous function has to be minimized. The proximal gradient algorithm is the classical method for solving such a problem…

Optimization and Control · Mathematics 2023-05-01 Xiaoxi Jia , Christian Kanzow , Patrick Mehlitz

In this paper, we study classes of discrete convex functions: submodular functions on modular semilattices and L-convex functions on oriented modular graphs. They were introduced by the author in complexity classification of minimum…

Optimization and Control · Mathematics 2016-10-11 Hiroshi Hirai

We prove the existence of minimizers for functionals defined over the class of convex domains contained inside a bounded set D of R^N and with prescribed volume. Some applications are given, in particular we prove that the eigenvalues of…

Optimization and Control · Mathematics 2007-05-23 Nicolas Van Goethem

We consider the problem of minimizing the Lagrangian $\int [F(\nabla u)+f\,u]$ among functions on $\Omega\subset\mathbb{R}^N$ with given boundary datum $\varphi$. We prove Lipschitz regularity up to the boundary for solutions of this…

Analysis of PDEs · Mathematics 2015-04-24 Pierre Bousquet , Lorenzo Brasco

In this paper, we analyze some theoretical properties of the problem of minimizing a quadratic function with a cubic regularization term, arising in many methods for unconstrained and constrained optimization that have been proposed in the…

Optimization and Control · Mathematics 2018-09-05 Andrea Cristofari , Tayebeh Dehghan Niri , Stefano Lucidi

This paper studies properties of a subdifferential defined using a generalized conjugation scheme. We relate this subdifferential together with the domain of an appropriate conjugate function and the {\epsilon}-directional derivative. In…

Optimization and Control · Mathematics 2025-01-15 M. D. Fajardo , J. Vidal-Nunez

The aim of the present paper is essentially to prove that if $\Phi$ and $\Psi$ are two sequentially weakly lower semicontinuous functionals on a reflexive real Banach space and if $\Psi$ is also continuous and coercive, then then following…

Optimization and Control · Mathematics 2013-10-09 Biagio Ricceri

We give a simple proof of the Baillon-Haddad theorem for convex functions defined on open and convex subsets of Hilbert spaces. We also state some generalizations and limitations. In particular, we discuss equivalent characterizations of…

Functional Analysis · Mathematics 2022-04-04 Daniel Wachsmuth , Gerd Wachsmuth

For $S\subseteq \mathbb{F}^n$, consider the linear space of restrictions of degree-$d$ polynomials to $S$. The Hilbert function of $S$, denoted $\mathrm{h}_S(d,\mathbb{F})$, is the dimension of this space. We obtain a tight lower bound on…

Computational Complexity · Computer Science 2024-05-17 Alexander Golovnev , Zeyu Guo , Pooya Hatami , Satyajeet Nagargoje , Chao Yan

In this paper, an upper semismooth function is defined to be a lower semicontinuous function whose radial subderivative satisfies a mild directional upper semicontinuity property. Examples of upper semismooth functions are the proper lower…

Optimization and Control · Mathematics 2017-03-10 Marc Lassonde

We show that local deformations, near closed subsets, of solutions to open partial differential relations can be extended to global deformations, provided all but the highest derivatives stay constant along the subset. The applicability of…

Differential Geometry · Mathematics 2021-09-01 Christian Baer , Bernhard Hanke

A differentiable function is pseudoconvex if and only if its restrictions over straight lines are pseudoconvex. A differentiable function depending on one variable, defined on some closed interval $[a,b]$ is pseudoconvex if and only if…

Optimization and Control · Mathematics 2019-11-19 Vsevolod Ivanov Ivanov

We study universal approximation of continuous functionals on compact subsets of products of Hilbert spaces. We prove that any such functional can be uniformly approximated by models that first take finitely many continuous linear…

Machine Learning · Computer Science 2026-02-04 Andrey Krylov , Maksim Penkin

We prove global Lipschitz regularity for a wide class of convex variational integrals among all functions in $W^{1,1}$ with prescribed (sufficiently regular) boundary values, which are not assumed to satisfy any geometrical constraint (as…

Analysis of PDEs · Mathematics 2018-02-28 Miroslav Bulíček , Erika Maringová , Bianca Stroffolini , Anna Verde

In this article, the concepts of gH-subgradients and gH-subdifferentials of interval-valued functions are illustrated. Several important characteristics of the gH-subdifferential of a convex interval-valued function, e.g., closeness,…

Optimization and Control · Mathematics 2021-04-16 Amit Kumar Debnath , Debdas Ghosh , Radko Mesiar , Ram Surat Chauhan

We study functions of bounded variation (and sets of finite perimeter) on a convex open set $\Omega\subseteq X$, $X$ being an infinite dimensional real Hilbert space. We relate the total variation of such functions, defined through an…

Functional Analysis · Mathematics 2024-04-02 L. Angiuli , S. Ferrari , D. Pallara

A classification of upper semicontinuous, translation and dually epi-translation invariant valuations is established on the space of convex Lipschitz function on $\mathbb{R}$ with compact domain.

Functional Analysis · Mathematics 2025-10-08 Fernanda M. Baêta

A subgradient method is presented for solving general convex optimization problems, the main requirement being that a strictly-feasible point is known. A feasible sequence of iterates is generated, which converges to within user-specified…

Optimization and Control · Mathematics 2016-05-30 James Renegar