Sentence examples for path of a graph from inspiring English sources
Since a path of a graph is a walk between two nodes without repeating nodes, there exists at least one walk with length k between the node i and the node j.
As minimizing or constraining the average shortest path of a graph is difficult, we chose to look for a minimal set that also had a small radius.
The characteristic length (CL) describes the average shortest path of a graph, i.e. the expected shortest distance between any two different nodes.
The following are NP-complete properties and hence expressible in IFL, over the class of all finite models: evenness of the domain, oddness of the domain, 3-colorability of a graph, and the existence of a Hamiltonian path on a graph.[37] The Skolem normal form of φinf is (∃f)(∃g)(∃t)(∀x)(∀y)((x = y ↔ f(x) = g y)) ∧ f(x) ≠ t).
We perform polynomial preprocessing steps to produce the filters and find Hamiltonian paths of a graph based on the rays of light passing through them.
While BN corresponds to the number of shortest paths leading through a particular node, the latter centrality measure evaluates the changes on the average shortest path length of a graph after removal of a particular node.
To estimate the human correspondences across non-overlapping cameras, the proposed method then models the issue of finding the hypothesis that maximizes the MAP as finding the path of a directed graph.
Roughly, graph hyperbolicity is a metric parameter which measures how close is the shortest-path metric of a graph from a tree metric (the smaller the gap the better).
Based on the set of shortest path in a graph, some other centrality indices are worth being mentioned: stress centrality, that is based on the enumeration of shortest paths; shortest-path betweenness centrality is a kind of stress centrality that accounts for the fraction of shortest paths between two nodes that contain a third node.
This process naturally lead to a much denser graph as the number of paths in a graph is much higher than the number of its edges.
This paper investigates the decomposition of a given path in a graph into least cost components.
