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A graph with 6 vertices and 7 edges where the vertex number 6 on the far-left is a leaf vertex or a pendant vertex. In discrete mathematics, and more specifically in graph theory, a vertex (plural vertices) or node is the fundamental unit of which graphs are formed: an undirected graph consists of a set of vertices and a set of edges (unordered pairs of vertices), while a directed graph ...
A vertex may exist in a graph and not belong to an edge. Under this definition, multiple edges, in which two or more edges connect the same vertices, are not allowed. Example of an undirected multigraph with 3 vertices, 3 edges and 4 loops.
A point location data structure can be built on top of the Voronoi diagram in order to answer nearest neighbor queries, where one wants to find the object that is closest to a given query point. Nearest neighbor queries have numerous applications. For example, one might want to find the nearest hospital or the most similar object in a database.
A factor-critical graph, together with perfect matchings of the subgraphs formed by removing one of its vertices.. In graph theory, a mathematical discipline, a factor-critical graph (or hypomatchable graph [1] [2]) is a graph with an odd number of vertices in which deleting one vertex in every possible way results in a graph with a perfect matching, a way of grouping the remaining vertices ...
Given an undirected graph G = (V, E), a subset of vertices is called a dominating set if for every vertex , there is a vertex such that {,}. Every graph has at least one dominating set: if D = V = {\displaystyle D=V=} the set of all vertices, then by definition D is a dominating set, since there is no vertex u ∈ V ∖ D {\displaystyle u\in V ...
A one-vertex cut is called an articulation point or cut vertex. vertex set The set of vertices of a given graph G, sometimes denoted by V(G). vertices See vertex. Vizing 1. Vadim G. Vizing 2. Vizing's theorem that the chromatic index is at most one more than the maximum degree. 3.
An adjacency list representation for a graph associates each vertex in the graph with the collection of its neighbouring vertices or edges. There are many variations of this basic idea, differing in the details of how they implement the association between vertices and collections, in how they implement the collections, in whether they include both vertices and edges or only vertices as first ...
In the mathematical field of graph theory, an automorphism is a permutation of the vertices such that edges are mapped to edges and non-edges are mapped to non-edges. [1] A graph is a vertex-transitive graph if, given any two vertices v 1 and v 2 of G, there is an automorphism f such that