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A stochastic conjugate gradient method for approximation of a function is proposed. The proposed method avoids computing and storing the covariance matrix in the normal equations for the least squares solution. In addition, the method…

Numerical Analysis · Mathematics 2013-02-11 Hong Jiang , Paul Wilford

Given an image $u_0$, the aim of minimising the Mumford-Shah functional is to find a decomposition of the image domain into sub-domains and a piecewise smooth approximation $u$ of $u_0$ such that $u$ varies smoothly within each sub-domain.…

Optimization and Control · Mathematics 2023-09-06 Irene Fonseca , Lisa Maria Kreusser , Carola-Bibiane Schönlieb , Matthew Thorpe

We provide a general treatment of perturbations of a class of functionals modeled on convolution energies with integrable kernel which approximate the $p$-th norm of the gradient as the kernel is scaled by letting a small parameter…

Analysis of PDEs · Mathematics 2020-07-09 Roberto Alicandro , Nadia Ansini , Andrea Braides , Andrey Piatnitski , Antonio Tribuzio

Generic approximation of entire functions by their Pad\'{e} approximants has been achieved in the past (\cite{3}). In the present article we obtain generic approximation of holomorphic functions on arbitrary open sets by sequences of their…

Complex Variables · Mathematics 2011-06-02 G. Fournodavlos , V. Nestoridis

We establish a quantitative normal approximation result for sums of random variables with multilevel local dependencies. As a corollary, we obtain a quantitative normal approximation result for linear functionals of random fields which may…

Probability · Mathematics 2019-05-27 Julian Fischer

This work demonstrates the utility of gradients for the global optimization of certain differentiable functions with many suboptimal local minima. To this end, a principle for generating search directions from non-local quadratic…

Optimization and Control · Mathematics 2023-08-21 Nils Müller

The convergence theory for the gradient sampling algorithm is extended to directionally Lipschitz functions. Although directionally Lipschitz functions are not necessarily locally Lipschitz, they are almost everywhere differentiable and…

Optimization and Control · Mathematics 2021-07-13 James V. Burke , Qiuying Lin

In this paper we generalize to arbitrary dimensions a one-dimensional equicoerciveness and $\Gamma$-convergence result for a second derivative perturbation of Perona-Malik type functionals. Our proof relies on a new density result in the…

Analysis of PDEs · Mathematics 2013-01-23 Giovanni Bellettini , Antonin Chambolle , Michael Goldman

We study the $\Gamma$-convergence of the functionals $F_n(u):= || f(\cdot,u(\cdot),Du(\cdot))||_{p_n(\cdot)}$ and $\mathcal{F}_n(u):= \int_{\Omega} \frac{1}{p_n(x)} f^{p_n(x)}(x,u(x),Du(x))dx$ defined on $X\in \{L^1(\Omega,\mathbb{R}^d),…

Optimization and Control · Mathematics 2020-05-19 Francesca Prinari , Michela Eleuteri

Let $\Gamma$ be a locally finite graph, $L$ the normalized Laplacian of $\Gamma$. If $\Gamma$ is uniformy locally finite, i.e. if each vertex has no more than $d$ adjacent vertices, then the matrix of $L$ (with respect to the standard…

Combinatorics · Mathematics 2018-08-14 Vladimir Manuilov

We consider a class of stochastic processes and establish its connection to $p$-harmonic functions. In particular, we obtain stochastic approximations that converge uniformly to a $p$-harmonic function, with an explicit convergence rate,…

Analysis of PDEs · Mathematics 2016-05-19 Hannes Luiro , Mikko Parviainen

The ab initio extension of the dynamical vertex approximation (D$\Gamma$A) method allows for realistic materials calculations that include non-local correlations beyond $GW$ and dynamical mean-field theory. Here, we discuss the…

Strongly Correlated Electrons · Physics 2020-01-13 Anna Galler , Patrik Thunström , Josef Kaufmann , Matthias Pickem , Jan M. Tomczak , Karsten Held

This paper is on $\Gamma$-convergence for degenerate integral functionals related to homogenisation problems in the Heisenberg group. Here both the rescaling and the notion of invariance or periodicity are chosen in a way motivated by the…

Analysis of PDEs · Mathematics 2019-06-28 Nicolas Dirr , Federica Dragoni , Paola Mannucci , Claudio Marchi

We prove that special functions of bounded deformation with small jump set are close in energy to functions which are smooth in a slightly smaller domain. This permits to generalize the decay estimate by De Giorgi, Carriero, and Leaci to…

Functional Analysis · Mathematics 2017-10-25 Antonin Chambolle , Sergio Conti , Flaviana Iurlano

One of the basic principles of Approximation Theory is that the quality of approximations increase with the smoothness of the function to be approximated. Functions that are smooth in certain subdomains will have good approximations in…

Numerical Analysis · Mathematics 2016-12-23 Licia Lenarduzzi , Robert Schaback

We study stochastic homogenisation of free-discontinuity surface functionals defined on piecewise rigid functions which arise in the study of fracture in brittle materials. In particular, under standard assumptions on the density, we show…

Analysis of PDEs · Mathematics 2023-12-20 Antonio Flavio Donnarumma , Manuel Friedrich

We develop a wavelet like representation of functions in $L^p(\mathbb{R})$ based on their Fourier--Hermite coefficients; i.e., we describe an expansion of such functions where the local behavior of the terms characterize completely the…

Classical Analysis and ODEs · Mathematics 2016-08-08 H. N. Mhaskar

We prove compactness with respect to $\Gamma$-convergence for a general class of non-local energies modelled after the ones considered in [Gobbino, CPAM (1998)]. We give an integral representation result for the limits, which are free…

Analysis of PDEs · Mathematics 2026-03-26 Giuseppe Cosma Brusca , Davide Donati , Sergio Scalabrino , Chiara Trifone , Edoardo Voglino

We find asymptotic equalities for exact upper bounds of approximations by Fourier sums in uniform metric on classes of $2\pi$-periodic functions, representable in the form of convolutions of functions $\varphi$, which belong to unit balls…

Classical Analysis and ODEs · Mathematics 2016-03-08 A. S. Serdyuk , T. A. Stepaniuk

We present effective algorithms for uniform approximation of multivariate functions satisfying some prescribed inner structure. We extend in several directions the analysis of recovery of ridge functions $f(x)=g(\langle a,x\rangle)$ as…

Functional Analysis · Mathematics 2014-06-09 Anton Kolleck , Jan Vybiral