Results 31 to 40 of about 691,381 (299)

Nonlocal Metric Dimension of Graphs

open access: yesBulletin of the Malaysian Mathematical Sciences Society, 2023
Nonlocal metric dimension ${\rm dim}_{\rm n\ell}(G)$ of a graph $G$ is introduced as the cardinality of a smallest nonlocal resolving set, that is, a set of vertices which resolves each pair of non-adjacent vertices of $G$. Graphs $G$ with ${\rm dim}_{\rm n\ell}(G) = 1$ or with ${\rm dim}_{\rm n\ell}(G) = n(G)-2$ are characterized.
Sandi Klavžar, Dorota Kuziak
openaire   +3 more sources

Metric Dimension Threshold of Graphs

open access: yesJournal of Mathematics, 2022
Let G be a connected graph. A subset S of vertices of G is said to be a resolving set of G, if for any two vertices u and v of G there is at least a member w of S such that du,w≠dv,w.
Meysam Korivand   +2 more
doaj   +1 more source

Strong metric dimension: A survey [PDF]

open access: yesYugoslav Journal of Operations Research, 2014
The strong metric dimension has been a subject of considerable amount of research in recent years. This survey describes the related development by bringing together theoretical results and computational approaches, and places the recent results
Kratica Jozef   +3 more
doaj   +1 more source

Spread: a measure of the size of metric spaces [PDF]

open access: yes, 2014
Motivated by Leinster-Cobbold measures of biodiversity, the notion of the spread of a finite metric space is introduced. This is related to Leinster's magnitude of a metric space.
Willerton, Simon
core   +1 more source

On the metric dimension of Cayley graphs

open access: yesAKCE International Journal of Graphs and Combinatorics, 2022
In this paper, we investigate the metric dimension, local metric dimension and edge metric dimension for some (generalized) Cayley graphs.
Afsaneh Rezaei   +2 more
doaj   +1 more source

Metric Dimensions of Bicyclic Graphs

open access: yesMathematics, 2023
The distance d(va,vb) between two vertices of a simple connected graph G is the length of the shortest path between va and vb. Vertices va,vb of G are considered to be resolved by a vertex v if d(va,v)≠d(vb,v). An ordered set W={v1,v2,v3,…,vs}⊆V(G) is said to be a resolving set for G, if for any va,vb∈V(G),∃vi∈W∋d(va,vi)≠d(vb,vi). The representation of
Asad Khan   +5 more
openaire   +2 more sources

Edge Metric and Fault-Tolerant Edge Metric Dimension of Hollow Coronoid

open access: yesMathematics, 2021
Geometric arrangements of hexagons into six sides of benzenoids are known as coronoid systems. They are organic chemical structures by definition. Hollow coronoids are divided into two types: primitive and catacondensed coronoids.
Ali N. A. Koam   +3 more
doaj   +1 more source

On Constant Metric Dimension of Some Generalized Convex Polytopes

open access: yesJournal of Mathematics, 2021
Metric dimension is the extraction of the affine dimension (obtained from Euclidean space Ed) to the arbitrary metric space. A family ℱ=Gn of connected graphs with n≥3 is a family of constant metric dimension if dimG=k (some constant) for all graphs in ...
Xuewu Zuo   +5 more
doaj   +1 more source

Metric Dimension for Random Graphs [PDF]

open access: yesThe Electronic Journal of Combinatorics, 2013
The metric dimension of a graph $G$ is the minimum number of vertices in a subset $S$ of the vertex set of $G$ such that all other vertices are uniquely determined by their distances to the vertices in $S$. In this paper we investigate the metric dimension of the random graph $G(n,p)$ for a wide range of probabilities $p=p(n)$.
Bollobás, Béla   +2 more
openaire   +4 more sources

Axisymmetric metrics in arbitrary dimensions [PDF]

open access: yesClassical and Quantum Gravity, 2003
We consider axially symmetric static metrics in arbitrary dimension, both with and without a cosmological constant. The most obvious such solutions have an SO(n) group of Killing vectors representing the axial symmetry, although one can also consider abelian groups which represent a flat `internal space'.
Charmousis, Christos, Gregory, Ruth
openaire   +3 more sources

Home - About - Disclaimer - Privacy