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We consider the problem of obtaining interpolation constraints for function classes, i.e., necessary and sufficient constraints that a set of points, function values and (sub)gradients must satisfy to ensure the existence of a global…

Optimization and Control · Mathematics 2025-09-16 Anne Rubbens , Julien M. Hendrickx

In this paper, we employ a global aggregate subgradient method for the numerical solution of hemivariational inequality problems arising in contact mechanics. The method integrates a global search procedure to identify starting points for a…

Optimization and Control · Mathematics 2025-05-30 Piotr Bartman-Szwarc , Adil M. Bagirov , Anna Ochal

This paper deals with the minimization of large sum of convex functions by Inexact Newton (IN) methods employing subsampled functions, gradients and Hessian approximations. The Conjugate Gradient method is used to compute the inexact Newton…

Numerical Analysis · Mathematics 2018-11-15 Stefania Bellavia , Natasa Krejic , Natasa Krklec Jerinkic

Weak KAM theory for discount Hamilton-Jacobi equations and corresponding discount Lagrangian/Hamiltonian dynamics is developed. Then it is applied to error estimates for viscosity solutions in the vanishing discount process. The main…

Analysis of PDEs · Mathematics 2016-11-24 Hiroyoshi Mitake , Kohei Soga

We prove sufficient conditions in order to obtain a sharp G\aa rding inequality for pseudo-differential operators acting on vector-valued functions on compact Lie groups. As a consequence, we obtain a sharp G\aa rding inequality for compact…

Analysis of PDEs · Mathematics 2024-03-27 André Kowacs , Michael Ruzhansky

A popular approach to minimize a finite-sum of convex functions is stochastic gradient descent (SGD) and its variants. Fundamental research questions associated with SGD include: (i) To find a lower bound on the number of times that the…

Optimization and Control · Mathematics 2022-08-16 Nuozhou Wang , Shuzhong Zhang

In this paper we consider non-smooth convex optimization problems with (possibly) infinite intersection of constraints. In contrast to the classical approach, where the constraints are usually represented as intersection of simple sets,…

Optimization and Control · Mathematics 2024-01-11 Angelia Nedich , Ion Necoara

We construct a coalescence hidden variable fractal interpolation function (CHFIF) through a non-diagonal iterated function system(IFS). Such a FIF may be self-affine or non-self-affine depending on the parameters of the defining…

Dynamical Systems · Mathematics 2007-05-23 A. K. B. Chand , G. P. Kapoor

This paper introduces a family of stochastic extragradient-type algorithms for a class of nonconvex-nonconcave problems characterized by the weak Minty variational inequality (MVI). Unlike existing results on extragradient methods in the…

Optimization and Control · Mathematics 2023-02-20 Thomas Pethick , Olivier Fercoq , Puya Latafat , Panagiotis Patrinos , Volkan Cevher

For subvector inference in the linear instrumental variables model under homoskedasticity but allowing for weak instruments, Guggenberger, Kleibergen, and Mavroeidis (2019) (GKM) propose a conditional subvector Anderson and Rubin (1949)…

Econometrics · Economics 2026-01-27 Jesse Hoekstra , Frank Windmeijer

We investigate the uniform convergence of subdifferential mappings from empirical risk to population risk in nonsmooth, nonconvex stochastic optimization. This question is key to understanding how empirical stationary points approximate…

Optimization and Control · Mathematics 2025-08-26 Feng Ruan

In this paper, we address a manifold constrained nonsmooth optimization problem involving the composition of a weakly convex function and a smooth mapping under the availability of a parametrization of the manifold. To find a stationary…

Optimization and Control · Mathematics 2026-02-03 Keita Kume , Isao Yamada

We study distributional properties of a quadratic form of a stationary functional time series under mild moment conditions. As an important application, we obtain consistency rates of estimators of spectral density operators and prove joint…

Statistics Theory · Mathematics 2022-12-12 Anne van Delft

This work establishes the weak convergence of Euler-Maruyama's approximation for stochastic differential equations (SDEs) with singular drifts under the integrability condition in lieu of the widely used growth condition. This method is…

Probability · Mathematics 2018-08-23 Jinghai Shao

This work provides formulae for the $\epsilon$-subdifferential of integral functions in the framework of complete $\sigma$-finite measure spaces and locally convex spaces. In this work we present here new formulae for this…

Optimization and Control · Mathematics 2019-09-09 Rafael Correa , Abderrahim Hantoute , Pedro Pérez-Aros

We consider the problem of minimizing the sum of three convex functions: i) a smooth function $f$ in the form of an expectation or a finite average, ii) a non-smooth function $g$ in the form of a finite average of proximable functions…

Optimization and Control · Mathematics 2022-03-25 Konstantin Mishchenko , Peter Richtárik

Improperly efficient solutions in the sense of Geoffrion in linear fractional vector optimization problems with unbounded constraint sets are studied in this paper. We give two sets of conditions which assure that all the efficient…

Optimization and Control · Mathematics 2020-08-04 N. T. T. Huong , N. D. Yen

The weak gravity conjecture (WGC) asserts that an Abelian gauge theory coupled to gravity is inconsistent unless it contains a particle of charge $q$ and mass $m$ such that $q \geq m/m_{\rm Pl}$. This criterion is obeyed by all known…

High Energy Physics - Theory · Physics 2014-12-23 Clifford Cheung , Grant N. Remmen

The paper is devoted to the classical variational problem with a nonsmooth integrand of the functional to be minimized. The integrand is supposed to be subdifferentiable. Under some natural conditions the subdifferentiability of the…

Optimization and Control · Mathematics 2022-05-04 Alexander Fominyh

In this paper, combined with the degradation and monotonicity of parameters of Hamacher operation and the advantages of the correlation between input parameters of Heronian operators, IVq-ROFHHMWA and IVq-ROFHHMGA operators, which are the…

General Mathematics · Mathematics 2022-06-16 Xianping Li