Results 221 to 230 of about 6,808,491 (270)

A New Intrinsic Metric on Metric Spaces

Bulletin of the Malaysian Mathematical Sciences Society, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cui, Yumiao, Xiao, Yingqing
openaire   +1 more source

The Metric Dimension of Metric Spaces

Computational Methods and Function Theory, 2013
Let \((X,d)\) be a metric space. A non-empty subset \(A\) of \(X\) resolves \((X,d)\) if \(d(x,a)=d(y,a)\) for all \(a\) in \(A\) implies \(x=y\), and if that is so we may regard the distances \(d(x,a)\), where \(a\in A\), as the coordinates of \(x\) with respect to \(A\).
Bau, Sheng, Beardon, Alan F.
openaire   +1 more source

Rough convergence of sequences in a cone metric space

The Journal of Analysis, 2018
Here we have introduced the idea of rough convergence of sequences in a cone metric space. Also it has been investigated how far several basic properties of rough convergence as valid in a normed linear space are affected in a cone metric space.
A. Banerjee, Rahul Mondal
semanticscholar   +1 more source

M-FUZZY METRIC SPACES AND D-METRIC SPACES

Advances in Fuzzy Sets and Systems, 2017
Summary: We study certain variants of \(M\)-fuzzy metric spaces and also of \(D\)-metric spaces.
Fora, Ali Ahmad Ali, Massa'deh, Mourad Oqla, Bataineh, Mohammad Saleh   +2 more
openaire   +2 more sources

HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems

Web Search and Data Mining, 2018
This paper investigates the notion of learning user and item representations in non-Euclidean space. Specifically, we study the connection between metric learning in hyperbolic space and collaborative filtering by exploring Mobius gyrovector spaces where
Lucas Vinh Tran, Yi Tay, Shuai Zhang, G. Cong, Xiaoli Li   +4 more
semanticscholar   +1 more source

Approximation of Metric Spaces by Partial Metric Spaces

Applied Categorical Structures, 1999
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

On 2S-metric spaces

Soft Computing, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
AYGÜN, HALİS, GÜNER, ELİF, ÇETKİN, VİLDAN   +2 more
openaire   +2 more sources

Data-driven distributionally robust optimization using the Wasserstein metric: performance guarantees and tractable reformulations

Mathematical programming, 2015
We consider stochastic programs where the distribution of the uncertain parameters is only observable through a finite training dataset. Using the Wasserstein metric, we construct a ball in the space of (multivariate and non-discrete) probability ...
Peyman Mohajerin Esfahani, D. Kuhn
semanticscholar   +1 more source