Results 61 to 70 of about 4,232 (158)

The comparative study of resolving parameters for a family of ladder networks

open access: yesAIMS Mathematics, 2022
For a simple connected graph $ G = (V, E) $, a vertex $ x\in V $ distinguishes two elements (vertices or edges) $ x_1\in V, y_1 \in E $ if $ d(x, x_1)\neq d(x, y_1). $ A subset $ Q_m\subset V $ is a mixed metric generator for $ G, $ if every two distinct
Mohra Zayed   +3 more
doaj   +1 more source

Fault-Tolerant Metric Dimension in Carbon Networks

open access: yesFoundations
In this paper, we study the fault-tolerant metric dimension in graph theory, an important measure against failures in unique vertex identification. The metric dimension of a graph is the smallest number of vertices required to uniquely identify every ...
Kamran Azhar, Asim Nadeem, Yilun Shang
doaj   +1 more source

On Fault-Tolerant Resolving Sets of Some Families of Ladder Networks

open access: yesComplexity, 2021
In computer networks, vertices represent hosts or servers, and edges represent as the connecting medium between them. In localization, some special vertices (resolving sets) are selected to locate the position of all vertices in a computer network. If an
Hua Wang   +4 more
doaj   +1 more source

DIMENSI METRIK PADA GRAF Rn(q; r)m

open access: yesJurnal Matematika UNAND, 2019
The metric dimension of a connected graph G is the cardinality of minimum resolving set in graph G. In this research, how to find the metric dimension of Rn(q; r)m graph. Rn(q; r)m graph is constructing by subdivision operation on Lobster graph Ln(q; r).
Rendy Aditya Pratama   +2 more
doaj   +1 more source

On The Local Metric Dimension of Line Graph of Special Graph

open access: yesCauchy: Jurnal Matematika Murni dan Aplikasi, 2016
Let G be a simple, nontrivial, and connected graph.  is a representation of an ordered set of k distinct vertices in a nontrivial connected graph G. The metric code of a vertex v, where , the ordered  of k-vector is representations of v with respect to W,
Marsidi Marsidi   +3 more
doaj   +1 more source

Dimension of the Boundary in Different Metrics

open access: yesMATHEMATICA SCANDINAVICA, 2013
We consider metrics on Euclidean domains $\Omega\subset\mathbf{R}^n$ that are induced by continuous densities $\rho\colon\Omega\rightarrow(0,\infty)$ and study the Hausdorff and packing dimensions of the boundary of $\Omega$ with respect to these metrics.
Ville Suomala, Riku Klén
openaire   +4 more sources

On the metric dimension of line graphs

open access: yesDiscrete Applied Mathematics, 2013
Let $G$ be a (di)graph. A set $W$ of vertices in $G$ is a \emph{resolving set} of $G$ if every vertex $u$ of $G$ is uniquely determined by its vector of distances to all the vertices in $W$. The \emph{metric dimension} $ (G)$ of $G$ is the minimum cardinality of all the resolving sets of $G$. C ceres et al. \cite{Ca2} computed the metric dimension of
Min Xu, Min Feng, Kaishun Wang
openaire   +3 more sources

The metric dimension of circulant graphs [PDF]

open access: yesOpuscula Mathematica
A pair of vertices \(x\) and \(y\) in a graph \(G\) are said to be resolved by a vertex \(w\) if the distance from \(x\) to \(w\) is not equal to the distance from \(y\) to \(w\).
Tapendra BC, Shonda Dueck
doaj   +1 more source

On the k-metric dimension of metric spaces

open access: yesArs Mathematica Contemporanea, 2018
The metric dimension of a general metric space was defined in 1953, applied to the set of vertices of a graph metric in 1975, and developed further for metric spaces in 2013. It was then generalised in 2015 to the k -metric dimension of a graph for each positive integer k , where k  = 1 corresponds to the original definition.
Alan F. Beardon   +1 more
openaire   +3 more sources

DIMENSI METRIK GRAPH LOBSTER Ln (q;r)

open access: yesE-Jurnal Matematika, 2013
The metric dimension of connected graph G is the cardinality of minimum resolving set in graph G. In this research, we study how to find the metric dimension of lobster graph Ln (q;r).
PANDE GDE DONY GUMILAR   +2 more
doaj   +1 more source

Home - About - Disclaimer - Privacy