The phrase "and the two graphs" is correct and usable in written English.
It can be used when referring to two specific graphs that have been previously mentioned or are being discussed in context.
Example: "The data was represented in various formats, and the two graphs clearly illustrated the trends over time."
Alternatives: "as well as the two charts" or "along with the two diagrams".
However, the algorithm needs some modifications in order to handle cases where the number of nodes, shapes and rotations of the two graphs are different.
By contrast, a correlation of −1 will be obtained if and only if the two graphs are completely mirrored, i.e. all edges in y1 do not exist in y2 and vice versa.
To compute (||f-g||_{L^p}) we need to look, for every point x, at the distance between f(x) and g(x), which corresponds to a vertical displacement between the two graphs, and then integrate this quantity.
For one influenza season (1998 1999), the modes and medians were both different between the two graphs (difference of one and two weeks respectively).
We compared the clustering coefficients and characteristic path lengths between the two graphs.
The larger a maximum common subgraph (MCS) is, the more similar are the two graphs; and thus the smaller the MCS distance between the graphs is.
A simple enumeration algorithm to find Q in N generates all possible maps between the nodes of the two graphs and checks whether any generated map is a subgraph isomorphism.
In particular, |V1| = 1'013 nodes and |E1| = 47'217 edges for suject 1, and |V2| = 956 and |E2| = 50'199 for subject 2. The two graphs were built based on about |F| = 3 million fibers generated by the tractography algorithm.
For each measure, students create two graphs, showing the following information, as well as performing the associated analysis: Furthermore, students can explore relationships between quantity and rate-of-change by considering the two graphs for a given measure.
That is, if the two graphs E and F have det ( I - A E ) ≠ det ( I - A F ), then L K ( E ) ≇ L K ( F ) for any field K. No.
