Web31 de dez. de 2024 · The outer multiset dimension \textrm {dim}_\textrm {ms} (G) of a graph G is the cardinality of a smallest set of vertices that uniquely recognize all the vertices outside this set by using multisets of distances to the set. It is proved that \textrm {dim}_\textrm {ms} (G) = n (G) - 1 if and only if G is a regular graph with diameter at most 2. WebCorollary 2.4. A tree T of order n ≥ 4 is (2, t)-metric dimensional if and only if T contains a support vertex which is adjacent to at least two leaves. An example of a (2, t)-metric dimensional tree is the star graph K1,n−1 , whose (2, t)-metric dimension is dim2,t (K1,n−1 ) = n−1.
On the Metric Dimension of Cartesian Products of Graphs
Web15 de jun. de 2024 · Jesse Geneson, Eunjeong Yi. The metric dimension, , of a graph is a graph parameter motivated by robot navigation that has been studied extensively. Let be … Web12 de abr. de 2024 · Graph-embedding learning is the foundation of complex information network analysis, aiming to represent nodes in a graph network as low-dimensional … how to see ad connect version
British Library EThOS: Variations on the theme of higher dimensional …
WebPseudo-Anosovs of interval type Ethan FARBER, Boston College (2024-04-17) A pseudo-Anosov (pA) is a homeomorphism of a compact connected surface S that, away from a finite set of points, acts locally as a linear map with one expanding and one contracting eigendirection. Ubiquitous yet mysterious, pAs have fascinated low-dimensional … Web1 de dez. de 2014 · In a graph G, cardinality of the smallest ordered set of vertices that distinguishes every element of V (G) is the (vertex) metric dimension of G.Similarly, the cardinality of such a set is the edge metric dimension of G, if it distinguishes E (G).In this paper these invariants are considered first for unicyclic graphs, and it is shown that the … Web12 de abr. de 2024 · Graph-embedding learning is the foundation of complex information network analysis, aiming to represent nodes in a graph network as low-dimensional dense real-valued vectors for the application in practical analysis tasks. In recent years, the study of graph network representation learning has received increasing attention from … how to see activity on my computer