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Related papers: Dimension preserving approximation

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Porosity and dimension are two useful, but different, concepts that quantify the size of fractal sets and measures. An active area of research concerns understanding the relationship between these two concepts. In this article we will…

Classical Analysis and ODEs · Mathematics 2013-03-19 Pablo Shmerkin

Let $D$ be a bounded domain in $\mathbb C^n$. We study approximation of (not necessarily bounded from above) $m-$subharmonic function $D$ by continuous $m-$subharmonic ones defined on neighborhoods of $\overline{D}$. We also consider the…

Complex Variables · Mathematics 2017-11-16 Nguyen Quang Dieu , Dau Hoang Hung , Hoang Thieu Anh , Sanphet Ounheuan

In the recent paper [J. Funct. Anal. {\bf 259} (2010)], Naor and Tao introduce a new class of measures with a so-called micro-doubling property and present, via martingale theory and probability methods, a localization theorem for the…

Classical Analysis and ODEs · Mathematics 2013-04-12 Alberto Criado , Fernando Soria

The use of separable approximations is proposed to mitigate the curse of dimensionality related to the approximation of high-dimensional value functions in optimal control. The separable approximation exploits intrinsic decaying sensitivity…

Optimization and Control · Mathematics 2025-08-26 Mario Sperl , Luca Saluzzi , Dante Kalise , Lars Grüne

In this paper, we study the problem of computing the diameter of a set of $n$ points in $d$-dimensional Euclidean space for a fixed dimension $d$, and propose a new $(1+\varepsilon)$-approximation algorithm with $O(n+ 1/\varepsilon^{d-1})$…

Computational Geometry · Computer Science 2019-05-08 Mahdi Imanparast , Seyed Naser Hashemi , Ali Mohades

The goal of this paper consists of developing a new (more physical and numerical in comparison with standard and non-standard analysis approaches) point of view on Calculus with functions assuming infinite and infinitesimal values. It uses…

General Mathematics · Mathematics 2012-03-20 Yaroslav D. Sergeyev

Coverage functions are an important subclass of submodular functions, finding applications in machine learning, game theory, social networks, and facility location. We study the complexity of partial function extension to coverage…

Data Structures and Algorithms · Computer Science 2019-07-18 Umang Bhaskar , Gunjan Kumar

In this manuscript, we provide a concise review of the concept of metric dimension for both deterministic as well as random graphs. Algorithms to approximate this quantity, as well as potential applications, are also reviewed. This work has…

Discrete Mathematics · Computer Science 2019-10-25 Richard C. Tillquist , Rafael M. Frongillo , Manuel E. Lladser

This note considers the notion of divergence-preserving branching bisimilarity. It briefly surveys results pertaining to the notion that have been obtained in the past one-and-a-half decade, discusses its role in the study of expressiveness…

Logic in Computer Science · Computer Science 2020-09-01 Bas Luttik

We consider universal approximations of symmetric and anti-symmetric functions, which are important for applications in quantum physics, as well as other scientific and engineering computations. We give constructive approximations with…

Numerical Analysis · Mathematics 2022-02-17 Jiequn Han , Yingzhou Li , Lin Lin , Jianfeng Lu , Jiefu Zhang , Linfeng Zhang

The goal of this note is to show that continuous functions may be approximated using scattered translates of the Poisson kernel.

Functional Analysis · Mathematics 2025-09-15 Jeff Ledford

Recently, we have proposed a new diffusive representation for fractional derivatives and, based on this representation, suggested an algorithm for their numerical computation. From the construction of the algorithm, it is immediately…

Numerical Analysis · Mathematics 2022-04-12 Kai Diethelm

In this paper, we explore the concept of $\sigma$-quasiconvexity for functions defined on normed vector spaces. This notion encompasses two important and well-established concepts: quasiconvexity and strong quasiconvexity. We start by…

Optimization and Control · Mathematics 2024-11-12 Nguyen Mau Nam , Jacob Sharkansky

Recent work on the representation of functions on sets has considered the use of summation in a latent space to enforce permutation invariance. In particular, it has been conjectured that the dimension of this latent space may remain fixed…

Machine Learning · Computer Science 2019-10-08 Edward Wagstaff , Fabian B. Fuchs , Martin Engelcke , Ingmar Posner , Michael Osborne

The classical continued fraction is generalized for studying the rational approximation problem on multi-formal Laurent series in this paper, the construction is called m-continued fraction. It is proved that the approximants of an…

Number Theory · Mathematics 2007-05-23 Zongduo Dai , Kunpeng Wang , Dingfeng Ye

The area-perimeter scaling can be employed to evaluate the fractal dimension of urban boundaries. However, the formula in common use seems to be not correct. By means of mathematical method, a new formula of calculating the boundary…

Physics and Society · Physics 2018-12-20 Yanguang Chen

The present work shows a novel fractal dimension method for shape analysis. The proposed technique extracts descriptors from the shape by applying a multiscale approach to the calculus of the fractal dimension of that shape. The fractal…

Data Analysis, Statistics and Probability · Physics 2015-06-03 André R. Backes , João B. Florindo , Odemir M. Bruno

We consider a positive recurrent one-dimensional diffusion process with continuous coefficients and we establish stable central limit theorems for a certain type of additive functionals of this diffusion. In other words we find some…

Probability · Mathematics 2022-04-27 Loïc Béthencourt

In the following we construct spaces of dimension $(n\pm \varepsilon)$ lying in the neighborhood of $\mathbb{Z}^n, \mathbb{Z}^n$ in the context of the $(n-\varepsilon)$-expansion. We provide means and criteria to deform the spaces of…

High Energy Physics - Theory · Physics 2017-12-28 Manfred Requardt

Perfect fractals are mathematical objects that, because they are generated by recursive processes, have self-similarity and infinite complexity. In particular, they also have a fractional dimension. Although several proposals for the study…

Physics Education · Physics 2018-04-04 P. V. S. Souza , R. L. Alves , W. F. Balthazar