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Related papers: On the proximinality of ridge functions

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We consider the approximation of a continuous function, defined on a compact set of the $d$-dimensional Euclidean space, by sums of two ridge functions. We obtain a necessary and sufficient condition for such a sum to be a best…

Functional Analysis · Mathematics 2016-09-28 Vugar Ismailov

These notes are about ridge functions. Recent years have witnessed a flurry of interest in these functions. Ridge functions appear in various fields and under various guises. They appear in fields as diverse as partial differential…

Classical Analysis and ODEs · Mathematics 2020-09-01 Vugar Ismailov

We consider the problem of representation of a bivariate function by sums of ridge functions. We show that if a function of a certain smoothness class is represented by a sum of finitely many, arbitrarily behaved ridge functions, then it…

Classical Analysis and ODEs · Mathematics 2016-06-28 Rashid Aliev , Vugar Ismailov

In this paper, we prove sharp upper and lower bounds for the approximation of Sobolev functions by sums of multivariate ridge functions, i.e., for approximation by functions of the form $\mathbb{R}^d \ni x \mapsto \sum_{k=1}^n \varrho_k(A_k…

Functional Analysis · Mathematics 2025-07-02 Paul Geuchen , Palina Salanevich , Olov Schavemaker , Felix Voigtlaender

We establish a necessary and sufficient condition for the differentiability of the distance function generated by a nonempty closed set K in a real normed linear space X under a proximinality condition on K. We do not assume the uniform…

Functional Analysis · Mathematics 2020-07-14 Triloki Nath

In this paper we prove that if a multivariate function of a certain smoothness class is represented by a sum of $k$ arbitrarily behaved ridge functions, then it can be represented by a sum of $k$ ridge functions of the same smoothness class…

Classical Analysis and ODEs · Mathematics 2020-04-28 Rashid Aliev , Vugar Ismailov

We characterize the best $L_{2}$ approximation to a multivariate function by linear combinations of ridge functions multiplied by some fixed weight functions. In the special case when the weight functions are constants, we propose explicit…

Classical Analysis and ODEs · Mathematics 2007-08-27 Vugar Ismailov

General ridge estimators are typical linear estimators in a general linear model. The class of them includes some shrinkage estimators in addition to classical linear unbiased estimators such as the ordinary least squares estimator and the…

Statistics Theory · Mathematics 2025-03-11 Hirai Mukasa , Koji Tsukuda

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

The Riemann hypothesis (RH) is well known. In this paper we would show some sufficient conditions for the RH. The first condition is related with the sum of divisors function and another one is related with the Chebyshev's function.

Number Theory · Mathematics 2012-03-07 Choe Ryong Gil

The proximinality of certain subspaces of spaces of bounded affine functions is proved. The results presented here are some linear versions of an old result due to Mazur. For the proofs we use some sandwich theorems of Fenchel's duality…

Functional Analysis · Mathematics 2019-07-24 Maysam Maysami Sadr

A ridge function is a function of several variables that is constant along certain directions in its domain. Using classical dimensional analysis, we show that many physical laws are ridge functions; this fact yields insight into the…

Numerical Analysis · Mathematics 2016-05-26 Paul G. Constantine , Zachary del Rosario , Gianluca Iaccarino

This paper studies the approximation of generalized ridge functions, namely of functions which are constant along some submanifolds of $\mathbb{R}^N$. We introduce the notion of linear-sleeve functions, whose function values only depend on…

Numerical Analysis · Mathematics 2017-01-26 Sandra Keiper

We study properties of ridge functions $f(x)=g(a\cdot x)$ in high dimensions $d$ from the viewpoint of approximation theory. The considered function classes consist of ridge functions such that the profile $g$ is a member of a univariate…

Numerical Analysis · Mathematics 2013-11-11 Sebastian Mayer , Tino Ullrich , Jan Vybiral

The optimization problem concerning the determination of the minimizer for the sum of convex functions holds significant importance in the realm of distributed and decentralized optimization. In scenarios where full knowledge of the…

Optimization and Control · Mathematics 2024-09-24 Kananart Kuwaranancharoen , Shreyas Sundaram

In [GO15], the authors discussed the existence of numerically feasible solvers for advection equations that run in optimal computational complexity. In this paper, we complete the last remaining requirement to achieve this goal - by showing…

Numerical Analysis · Mathematics 2016-01-22 Axel Obermeier , Philipp Grohs

When dealing with certain mathematical problems, it is sometimes necessary to show that some function induces a metric on a certain space. When this function is not a well renowned example of a distance, one has to develop very particular…

General Mathematics · Mathematics 2023-05-23 Daniel Cao Labora , Francisco Javier Fernández , Fernando Adrián F. Tojo , Carlos Villanueva

In this paper, sufficient conditions for the existence of trigonometric Hermite-Jacobi appro\-ximations of a system of functions that are sums of convergent Fourier series are found. Based on these results, sufficient conditions are…

Classical Analysis and ODEs · Mathematics 2025-10-10 A. P. Starovoitov , I. V. Kruglikov

In this paper, we use methods from spectral graph theory to obtain some results on the sum-product problem over finite valuation rings $\mathcal{R}$ of order $q^r$ which generalize recent results given by Hegyv\'ari and Hennecart (2013).…

Number Theory · Mathematics 2016-11-22 Le Quang Ham , Thang Pham , Le Anh Vinh

To present Mercer large-scale kernel machines from a ridge function perspective, we recall the results by Lin and Pinkus from {\it Fundamentality of ridge functions}. We consider the main result of the recent paper by Rachimi and Recht,…

Machine Learning · Computer Science 2026-05-21 Karol Dziedziul , Sergey Kryzhevich , Paweł Wieczyński
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