Results 21 to 30 of about 5,105,361 (177)

How much can we extend the Assouad embedding theorem? [PDF]

open access: yesBanach Center Publications, 2023
The celebrated Assouad embedding theorem has been known for over 40 years. It states that for any doubling metric space (with doubling constant $C_0$) there exists an integer $N$, such that for any $\alpha\in (0.5,1)$ there exists a positive constant $C(\
Filip Turobo's, O. Dovgoshey
semanticscholar   +1 more source

Proximinal sets and connectedness in graphs [PDF]

open access: yesJournal of Mathematical Sciences, 2023
Let G be a graph with a vertex set V . The graph G is path-proximinal if there is a semimetric d : V × V → [0, ∞[ and disjoint proximinal subsets of the semimetric space (V, d) such that V = A ∪ B. The vertices u, v ∈ V are adjacent iff duv⩽infdxy:x∈Ay∈B,
K. Chaira, O. Dovgoshey
semanticscholar   +1 more source

Stability of Set Differential Equations in Fréchet Spaces

open access: yesAdvances in Mathematical Physics, Volume 2023, Issue 1, 2023., 2023
In this paper, we investigate the stability of set differential equations in Fréchet space F. Some comparison principles and stability criteria are established for set differential equations with the fact that every Fréchet space F is a projective limit of Banach spaces.
Junyan Bao   +3 more
wiley   +1 more source

A Class of Dissimilarity Semimetrics for Preference Relations [PDF]

open access: yesMathematics of Operations Research, 2022
We propose a class of semimetrics for acyclic preference relations, any one of which is an alternative to the classical Kemeny-Snell-Bogart metric. These semimetrics are based solely on the implications of preferences for choice behavior and thus appear ...
Hiroki Nishimura, Efe A. Ok
semanticscholar   +1 more source

Generalized fractals in semimetric spaces

open access: yesNonlinear Analysis, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bessenyei, Mihály, Pénzes, Evelin
openaire   +2 more sources

Forged Video Detection Using Deep Learning: A SLR

open access: yesApplied Computational Intelligence and Soft Computing, Volume 2023, Issue 1, 2023., 2023
In today’s digital landscape, video and image data have emerged as pivotal and widely adopted means of communication. They serve not only as a ubiquitous mode of conveying information but also as indispensable evidential and substantiating elements across diverse domains, encompassing law enforcement, forensic investigations, media, and numerous others.
Maryam Munawar   +4 more
wiley   +1 more source

On quasisymmetric mappings in semimetric spaces

open access: yesAnnales Fennici Mathematici, 2022
The class of quasisymmetric mappings on the real axis was first introduced by Beurling and Ahlfors in 1956. In 1980 Tukia and Väisälä considered these mappings between general metric spaces. In our paper we generalize the concept of a quasisymmetric mapping to the case of general semimetric spaces and study some properties of these mappings.
Petrov, Evgeniy, Salimov, Ruslan
openaire   +3 more sources

Asymptotic Normality of Nonparametric Kernel Regression Estimation for Missing at Random Functional Spatial Data

open access: yesJournal of Mathematics, Volume 2023, Issue 1, 2023., 2023
This study investigates the estimation of the regression function using the kernel method in the presence of missing at random responses, assuming spatial dependence, and complete observation of the functional regressor. We construct the asymptotic properties of the established estimator and derive the probability convergence (with rates) as well as ...
Fatimah Alshahrani   +5 more
wiley   +1 more source

Equivalence of distance-based and RKHS-based statistics in hypothesis testing [PDF]

open access: yesarXiv.org, 2012
We provide a unifying framework linking two classes of statistics used in two-sample and independence testing: on the one hand, the energy distances and distance covariances from the statistics literature; on the other, maximum mean discrepancies (MMD ...
D. Sejdinovic   +3 more
semanticscholar   +1 more source

Affine Connection Representation of Gauge Fields

open access: yesAdvances in High Energy Physics, Volume 2022, Issue 1, 2022., 2022
There are two ways to unify gravitational field and gauge field. One is to represent gravitational field as principal bundle connection, and the other is to represent gauge field as affine connection. Poincaré gauge theory and metric‐affine gauge theory adopt the first approach. This paper adopts the second.
Zhao-Hui Man, Sunny Vagnozzi
wiley   +1 more source

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