At long last, with the capacity edge, shapes of the pictures were gotten by Candy administrator.
Each edge of the flow network has a fixed capacity (edge weight), which can be regarded as the max flow rate of the pipeline.
The rate of the flow path is chosen such that the minimum capacity edge belonging to the shortest path is saturated.
Given an undirected network G≡[N,E], a source sink pair of nodes (s,t) in N, a non-negative number ui,j representing the capacity of edge (i,j) for each (i,j ∈E, and a positive integer q, an "elementary q-path flow" from s to t is defined as a flow of q units from s to t, with one unit of flow along each path in a set of q edge-disjoint s t paths.
We focus on the downlink capacity of edge users in the cellular networks and show that BS cooperation can improve the spectral efficiency.
The capacities of edges among proteins (protein interactions) are assigned as 1.
The capacities of edges among diseases and proteins (disease-protein associations) are assigned as infinite.
In detail, the capacities of edges among diseases are assigned as the same as their phenotypic similarities.
Nodes of the network are defined as either diseases or proteins, while the capacities of edges are weighted as the phenotypic similarities among diseases or interactions among proteins.
Before generalizing to real numbers it is worth noting that assignment of integer capacities to edges is a special case of the VPG that results in a faster PG implementation than the original multigraph PG implementation [ 15].
We consider here a realistic variant introduced previously, in which the capacity of edges between hubs is increased in a modular way.
