Sentence examples for vert vertices from inspiring English sources
The input: An undirected graph (mathcal {G}~=~(mathcal {V},mathcal {E})) and an undirected graph (bar {mathcal {G}}~=~(mathcal {E},bar {mathcal {E}})), where each of the (vert mathcal {E} vert ) vertices of (bar {mathcal {G}}) belongs uniquely to one edge (ein mathcal {E}) in (mathcal {G}).
This has been derived to be (O( {vert Evert *( {frac{2*vert Evert }{vert Vvert -1}+vert Vvert -2})})) for a graph of (vert Vvert ) vertices and (vert Evert ) edges [36].
where (mathcal {B}) is the set of those pairs of vertices (v i,v j ) for which (vert mathcal {P}_{i,j} vert ~>~0) and (vert mathcal {P}_{j,i} vert ~>~0), i.e., those pairs for which solution candidates exist that can fulfill the bidirectionality criterion.
Hence, the time complexity incurred to compute the LCCDC of the vertices in a network graph of (vert Vvert ) vertices and (vert Evert ) edges can be written as: (O( {vert Vvert ^2+vert Evert *( {frac{2*vert Evert }{vert Vvert -1}+vert Vvert -2})})).
This could take another (vert Vvert vert Evert ) time for all the vertices in the graph.
Then (vert x q vert < vert x(p vert ) whenever p, q are vertices of T such that q lies on the unique path from u to p. [12].
Let T be a tree, which is a nonzero branch of G with respect to x and with root v. Then (vert x q vert < vert x(p vert ) whenever p, q are vertices of T such that q lies on the unique path from v to p. ([10]).
It would take O((vert Vvert ^{2})) time to compute the degree centrality of the vertices in a graph.
N'est vert, n'est vert, n'est vert.
