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We consider scalar equilibrium problems governed by a bifunction in a finite-dimensional framework. By using classical arguments in Convex Analysis, we show that under suitable generalized convexity assumptions imposed on the bifunction,…

Optimization and Control · Mathematics 2024-01-02 Valerian-Alin Fodor , Nicolae Popovici

In this paper, we generalize the chance optimization problems and introduce constrained volume optimization where enables us to obtain convex formulation for challenging problems in systems and control. We show that many different problems…

Optimization and Control · Mathematics 2017-02-01 Ashkan Jasour , Constantino Lagoa

This paper provides characterizations of the weak solutions of optimization problems where a given vector function $F,$ from a decision space $X$ to an objective space $Y$, is "minimized" on the set of elements $x\in C$ (where $C\subset X$…

Optimization and Control · Mathematics 2016-02-11 Nguyen Dinh , Miguel A. Goberna , Dang H. Long , Marco A. López

The vector Riemann-Hilbert problem is analyzed when the entries of its matrix coefficient are meromorphic and almost periodic functions. Three cases for the meromorphic functions, when they have (i) a finite number of poles and zeros…

Mathematical Physics · Physics 2016-02-17 Yuri A. Antipov

The aim of this work is to prove the global-in-time existence of weak solutions for a viscoelastic phase separation model in three space dimensions. To this end we apply the relative energy concept provided by [3]. We consider the case of…

Analysis of PDEs · Mathematics 2023-01-03 Aaron Brunk

We study the branch of semi-stable and unstable solutions (i.e., those whose Morse index is at most one) of the Dirichlet boundary value problem $-\Delta u=\frac{\lambda f(x)}{(1-u)^2}$ on a bounded domain $\Omega \subset \R^N$, which…

Analysis of PDEs · Mathematics 2007-05-23 Pierpaolo Esposito , Nassif Ghoussoub , Yujin Guo

Inspired by regularization techniques in statistics and machine learning, we study complementary composite minimization in the stochastic setting. This problem corresponds to the minimization of the sum of a (weakly) smooth function endowed…

Machine Learning · Computer Science 2024-01-24 Alexandre d'Aspremont , Cristóbal Guzmán , Clément Lezane

We prove the almost sure weak convergence of a stochastic proximal point method for minimizing a convex integral function in the general nonlinear context of complete geodesic metric spaces of nonpositive curvature (so-called Hadamard…

Optimization and Control · Mathematics 2026-05-21 Nicholas Pischke

We develop several aspects of the infinite-dimensional Weak KAM theory using a random variables' approach. We prove that the infinite-dimensional cell problem admits a viscosity solution that is a fixed point of the Lax-Oleinik semigroup.…

Dynamical Systems · Mathematics 2015-08-04 Diogo Gomes , Levon Nurbekyan

Given a positive definite kernel in a locally compact space, we study a minimal energy problem in the presence of an external field over the class of all nonnegative Radon measures that are supported by a given closed noncompact set,…

Classical Analysis and ODEs · Mathematics 2010-01-26 Natalia Zorii

We develop a theory of existence of minimizers of energy functionals in vectorial problems based on a nonlocal gradient under Dirichlet boundary conditions. The model shares many features with the peridynamics model and is also applicable…

Analysis of PDEs · Mathematics 2022-11-07 José C. Bellido , Javier Cueto , Carlos Mora-Corral

We study an intrinsic model for collective behaviour on the hyperbolic space $\bbh^\dm$. We investigate the equilibria of the aggregation equation (or equivalently, the critical points of the associated interaction energy) for interaction…

Analysis of PDEs · Mathematics 2023-03-22 Razvan C. Fetecau , Hansol Park

We introduce several classes of set-valued maps with generalized convexity. We obtain minimax theorems for set-valued maps which satisfy the introduced properties and are not continuous, by using a fixed point theorem for weakly naturally…

Optimization and Control · Mathematics 2015-10-09 Monica Patriche

We consider the problem of minimizing convex combinations of the first two eigenvalues of the Dirichlet-Laplacian among open sets of $R^N$ of fixed measure. We show that, by purely elementary arguments, based on the minimality condition, it…

Analysis of PDEs · Mathematics 2016-07-29 Dario Mazzoleni , Davide Zucco

Let $\Omega$ be a smooth bounded axisymmetric set in $\R^3$. In this paper we investigate the existence of minimizers of the so-called neo-Hookean energy among a class of axisymmetric maps. Due to the appearance of a critical exponent in…

Analysis of PDEs · Mathematics 2016-09-26 Duvan Henao , Rémy Rodiac

Weight optimization of frame structures with continuous cross-section parametrization is a challenging non-convex problem that has traditionally been solved by local optimization techniques. Here, we exploit its inherent semi-algebraic…

Optimization and Control · Mathematics 2025-01-29 Marek Tyburec , Michal Kočvara , Martin Kružík

We investigate the quadratic Schr\"odinger bridge problem, a.k.a. Entropic Optimal Transport problem, and obtain weak semiconvexity and semiconcavity bounds on Schr\"odinger potentials under mild assumptions on the marginals that are…

Probability · Mathematics 2024-02-14 Giovanni Conforti

We prove that, any problem of minimization of proper lower semicontinuous function defined on a normal Hausdorff space, is canonically equivalent to a problem of minimization of a proper weak * lower semicontinuous convex function defined…

Functional Analysis · Mathematics 2017-05-24 Mohammed Bachir

Theories of low-energy Lorentz violation by a fixed-norm "aether" vector field with two-derivative kinetic terms have a globally bounded Hamiltonian and are perturbatively stable only if the vector is timelike and the kinetic term in the…

High Energy Physics - Theory · Physics 2009-03-24 Sean M. Carroll , Timothy R. Dulaney , Moira I. Gresham , Heywood Tam

We introduce variational problems on Riemannian manifolds with constrained acceleration and derive necessary conditions for normal extremals in the constrained variational problem. The problem consists on minimizing a higher-order energy…

Optimization and Control · Mathematics 2022-02-25 Alexandre Anahory Simoes , Leonardo Colombo
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