Results 51 to 60 of about 253,596 (293)
On the metric dimension of Cayley graphs
In this paper, we investigate the metric dimension, local metric dimension and edge metric dimension for some (generalized) Cayley graphs.
Afsaneh Rezaei +2 more
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Edge metric dimension of $k$ multiwheel graph
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bataineh, Mohammad S. +2 more
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On Mixed Metric Dimension of Some Path Related Graphs
A vertex $k\in V_{G}$ determined two elements (vertices or edges) $\ell,m \in V_{G}\cup E_{G}$ , if $d_{G}(k,\ell)\neq d_{G}(k,m)$ . A set $R_ {\text {m}}$ of vertices in a graph $G$ is a mixed metric generator for $G$ , if two distinct elements
Hassan Raza, Ying Ji, Shaojian Qu
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The K-Size Edge Metric Dimension of Graphs
In this paper, a new concept k-size edge resolving set for a connected graph G in the context of resolvability of graphs is defined. Some properties and realizable results on k-size edge resolvability of graphs are studied.
Tanveer Iqbal +2 more
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The Simultaneous Strong Resolving Graph and the Simultaneous Strong Metric Dimension of Graph Families [PDF]
We consider in this work a new approach to study the simultaneous strong metric dimension of graphs families, while introducing the simultaneous version of the strong resolving graph.
González Yero, Ismael
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Uniquely identifying the edges of a graph: The edge metric dimension [PDF]
Let $G=(V,E)$ be a connected graph, let $v\in V$ be a vertex and let $e=uw\in E$ be an edge. The distance between the vertex $v$ and the edge $e$ is given by $d_G(e,v)=\min\{d_G(u,v),d_G(w,v)\}$. A vertex $w\in V$ distinguishes two edges $e_1,e_2\in E$ if $d_G(w,e_1)\ne d_G(w,e_2)$.
Aleksander Kelenc +2 more
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Patched Network and Its Vertex-Edge Metric-Based Dimension
The p-type networks are designed with the help of CVNET at topo group Cluj and also given support by nano studio. Such networks develop new p-type surfaces and also represent the decorations of the surfaces.
Sidra Bukhari +3 more
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Application of Fractal Dimension for Quantifying Noise Texture in Computed Tomography Images [PDF]
Purpose Evaluation of noise texture information in CT images is important for assessing image quality. Noise texture is often quantified by the noise power spectrum (NPS), which requires numerous image realizations to estimate.
Crotty, Dominic J. +4 more
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Relaxed spanners for directed disk graphs [PDF]
Let $(V,\delta)$ be a finite metric space, where $V$ is a set of $n$ points and $\delta$ is a distance function defined for these points. Assume that $(V,\delta)$ has a constant doubling dimension $d$ and assume that each point $p\in V$ has a disk of ...
Peleg, David, Roditty, Liam
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Metric and edge-metric dimensions of bobble-neighbourhood-corona graphs
Abstract Resolving set in a graphG =(V(G), E(G)) is an ordered subset W of V(G) such that every vertex in V(G) has distinct representation with respect to W. Resolving set of G of minimum cardinality is called basis of G.Cardinality of basis of G is called metric dimension of G, dim(G).
null Rinurwati, R E Nabila
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