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Related papers: Piecewise Extended Chebyshev Spaces: a numerical t…

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A piecewise Chebyshevian spline space is a space of spline functions having pieces in different Extended Chebyshev spaces and where the continuity conditions between adjacent spline segments are expressed by means of connection matrices.…

Numerical Analysis · Mathematics 2016-01-05 Carolina Vittoria Beccari , Giulio Casciola

We introduce the notion of echeloned spaces - an order-theoretic abstraction of metric spaces. The first step is to characterize metrizable echeloned spaces. It turns out that morphisms between metrizable echeloned spaces are uniformly…

In this paper, we introduce the concept of partial extended b-metric spaces (PEBMS) as a unification and generalization of extended b-metric spaces and partial b-metric spaces. This new structure incorporates a point-dependent control…

Functional Analysis · Mathematics 2026-04-30 Muhamad Abdillah Ahen , Ivan Hadinata , Raudhatul Mufizah

In this paper, we shall compare two metrics in terms of orderly dependence, a notion developed in exponential vector space in the article 'Basis and Dimension of Exponential Vector Space' by Jayeeta Saha and Sandip Jana in Transactions of…

Functional Analysis · Mathematics 2024-11-26 Dhruba Prakash Biswas , Priti Sharma , Sandip Jana , Jens Schwaiger

This paper introduces a new generalized polynomial chaos expansion (PCE) comprising measure-consistent multivariate orthonormal polynomials in dependent random variables. Unlike existing PCEs, whether classical or generalized, no…

Probability · Mathematics 2018-04-17 Sharif Rahman

Extended Chebyshev spaces that also comprise the constants represent large families of functions that can be used in real-life modeling or engineering applications that also involve important (e.g. transcendental) integral or rational…

Numerical Analysis · Mathematics 2015-08-25 Ágoston Róth

Let $P$ be a Poisson algebra, $E$ a vector space and $\pi : E \to P$ an epimorphism of vector spaces with $V = {\rm Ker} (\pi)$. The global extension problem asks for the classification of all Poisson algebra structures that can be defined…

Rings and Algebras · Mathematics 2015-01-06 A. L. Agore , G. Militaru

For every nonempty compact convex subset $K$ of a normed linear space a (unique) point $c_K \in K$, called the generalized Chebyshev center, is distinguished. It is shown that $c_K$ is a common fixed point for the isometry group of the…

Functional Analysis · Mathematics 2012-10-17 Piotr Niemiec

In computable topology, a represented space is called computably discrete if its equality predicate is semidecidable. While any such space is classically isomorphic to an initial segment of the natural numbers, the computable-isomorphism…

Logic · Mathematics 2025-12-12 Eike Neumann , Arno Pauly , Cécilia Pradic , Manlio Valenti

We introduce and explore a new concept of evasive subspace with respect to a collection of subspaces sharing a common dimension, most notably partial spreads. We show that this concept generalises known notions of subspace scatteredness and…

Combinatorics · Mathematics 2023-10-17 Anina Gruica , Alberto Ravagnani , John Sheekey , Ferdinando Zullo

The notion of blossom in extended Chebyshev spaces offers adequate generalizations and extra-utilities to the tools for free-form design schemes. Unfortunately, such advantages are often overshadowed by the complexity of the resulting…

Numerical Analysis · Mathematics 2011-07-14 Rachid Ait-Haddou , Yusuke Sakane , Taishin Nomura

We study the Equitable Connected Partition (ECP for short) problem, where we are given a graph G=(V,E) together with an integer p, and our goal is to find a partition of V into p parts such that each part induces a connected sub-graph of G…

Data Structures and Algorithms · Computer Science 2024-05-01 Václav Blažej , Dušan Knop , Jan Pokorný , Šimon Schierreich

We study the statistical properties of piecewise expanding maps in the general setting of metric measure spaces. We provide sufficient conditions for exponential mixing of such systems with explicit estimates on the constants. We also…

Dynamical Systems · Mathematics 2019-04-03 Peyman Eslami

Interactions and relations between objects may be pairwise or higher-order in nature, and so network-valued data are ubiquitous in the real world. The "space of networks", however, has a complex structure that cannot be adequately described…

Metric Geometry · Mathematics 2024-12-09 Stephen Y Zhang , Fangfei Lan , Youjia Zhou , Agnese Barbensi , Michael P H Stumpf , Bei Wang , Tom Needham

A parameterised Boolean equation system (PBES) is a set of equations that defines sets satisfying the equations as the least and/or greatest fixed-points. Thus this system is regarded as a declarative program defining predicates, where a…

Logic in Computer Science · Computer Science 2018-02-20 Yutaro Nagae , Masahiko Sakai

We construct an appropriate metric on the collection of piecewise $\mathcal C^r$ maps defined on a compact interval. Although this metric space turns out to be not complete, we show that it is indeed a Baire space. As an application, we…

Dynamical Systems · Mathematics 2022-03-22 A. Calderón

Polynomial chaos expansions (PCE) allow us to propagate uncertainties in the coefficients of differential equations to the statistics of their solutions. Their main advantage is that they replace stochastic equations by systems of…

Numerical Analysis · Mathematics 2016-04-25 H. Cagan Ozen , Guillaume Bal

Exponential vector space [shortly \emph{evs}] is an algebraic order extension of vector space in the sense that every evs contains a vector space and conversely every vector space can be embedded into such a structure. This evs structure…

Algebraic Geometry · Mathematics 2020-06-12 Jayeeta Saha , Sandip Jana

Motivated by the analysis and geometry of metric-measure structures in infinite dimensions, we study the category of extended metric-topological spaces, along with many of its distinguished subcategories (such as the one of compact spaces).…

Category Theory · Mathematics 2026-01-13 Enrico Pasqualetto , Timo Schultz , Janne Taipalus

Integrating a notion of symmetry into point cloud neural networks is a provably effective way to improve their generalization capability. Of particular interest are $E(3)$ equivariant point cloud networks where Euclidean transformations…

Machine Learning · Computer Science 2024-02-14 Matan Atzmon , Jiahui Huang , Francis Williams , Or Litany
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