Sentence examples for using a bipartite graph from inspiring English sources
Given the ranking of the tasks, they are allocated to the VMs using a bipartite graph, but the issue is now one oftime, Suppose 'P1'-'VM1' has complete 't1', or VMn-1 has completed at time ∑ Pn-1.
To ensure that a large set of common idle channels is in each cluster and provide a graceful trade-off between the cluster size and cluster-based common idle channels, Liu et al. [12] formulated the clustering problem using a bipartite graph.
Here, we propose a mathematical description of the preemption scenario, Given the ranking of the tasks, they are allocated to the VMs using a bipartite graph, but the issue is now one oftime, Suppose 'P1'-'VM1' has complete 't1', or VMn-1 has completed at time ∑ Pn-1.
The sampling matrix Φ is found using a bipartite graph which consists of binary entries, i.e., entries that are either 1 or 0. Binary search methods are then used to find an unknown k-sparse vector s ∈ R n, see, e.g., [84, 94 100] and the references therein.
We constructed the drug target interaction network for each protein class using a bipartite graph representation.
We constructed the drug target interaction network for each protein class using a bipartite graph representation (Yildirim et al., 2007).
At first, we use a bipartite graph to represent the relation between formulas and minimal inconsistent subsets of a knowledge base.
We use a bipartite graph to represent the RA-CORP problem, and then use a sparse matrix-based algorithm to find the maximum-sized matching between the MNs and RNs.
This method uses a bipartite graph method (P-graph method) to describe process networks and employs combinatorial rules to find all feasible network solutions (the maximum structure) using all possible raw materials, intermediate products and products as well as all relevant technologies processing these materials.
Bipartite spectral clustering uses a bipartite graph where vertices are divided into two types, each from one dimension of the given contingency table (T).
Oliver Ebenhöh (University of Aberdeen, UK) presented a simple heuristic based on the principle of forward propagation called network expansion [ 15] which uses a bipartite graph representation of cellular metabolism to predict the "scope" or synthesizing capability of any metabolite in the investigated network.
