Sentence examples for graphs since the from inspiring English sources

Hamiltonian graphs have been more challenging to characterize than Eulerian graphs, since the necessary and sufficient conditions for the existence of a Hamiltonian circuit in a connected graph are still unknown.

Cumulants consist only of connected graphs since the products of lower ordered moments are subtracted by definition.

Nonetheless, it is still necessary to check if these types of graphs follow the same behavior as Bernoulli random graphs, since the brain is neither completely random nor regular.

The relationship between these two terms are then generated as the graph in Figure 5 from the schema graph, called the logical graph (a subgraph of the schema graph), since this is the shortest path to connect them (gene → Gene.GeneID → Gene.UniProtID → protein → Protein.ProteinID → Function).

The graph since the grand slam in 2009 has dipped enough to see Ireland at 50% over the 24 Tests since.

But look at this graph: Since the iPhone 5 release, and the Maps fracas, Apple shares lost about 4.5% of their value.

The LRW algorithm performs better on this type of graph since the attractor vertices and significant vertices are more stable on these graphs.

In this graph, since the opposite vertices, which have an edge between them, can be labeled with the same color, we have two different colors.

In a random graph, since the links are placed randomly, the majority of nodes have approximately the same degree, and close to the average degree ( overline{k} ) of the network.

These nodes are connected by edges between each other in the graph since the corresponding distances, although not measured via sensors, can be calculated using the known positions of the anchor nodes.

To cope with this issue, Hao et al. [68] evaluated the similarity between the targeted graph (since the molecular structure of the targeted medicine can be modeled as a graph) and the graphs (i.e., other existing medicines) in the database via rough-k cliques theory which is a novel soft computing methodology [71].