Sentence examples for minimum cut network from inspiring English sources

This paper describes the implementation of a minimum cut network flow algorithm for the optimal production phase and ultimate pit limit design under commodity price or market uncertainty.

Scaling laws for the behavior of the shortest path and minimum cut in random networks are then surveyed.

The capacity of a minimum cut of such a network can be upper bounded as [24] I cut = min V I s d + ∑ R i ∈ ( R V ) I s r i + ∑ R i ∈ ( R V ) I r i d. (1).

In "Shortest paths in correlated networks" and "Minimum cuts in correlated networks" sections, we study the shortest path problem and min-cut problem, respectively, for the proposed models and devise algorithms to solve them exactly.

In addition, the maximum capacity is equal to the number of the minimum cut edge set, when the network is with unit capacity.

Algorithms for graph mining and cluster detection in networks are mainly based on network flow and minimum cut theory ([ 63, 64]), and also on spectral clustering [ 65].

In what follows, we formulate the network-guided SNP selection problem as a minimum cut problem on a graph derived from the SNP network in Section 2 and evaluate the performance of our solution both in simulations and on actual Arabidopsis thaliana data in Section 3. Let n be the number of SNPs and m the number of individuals.

Similar to the proof that the MCDCM problem is NP-hard in "Minimum cuts in correlated networks" section, the MC-SRLG problem in the form of Fig. 6 can be reduced to the NP-hard SP-SRLG problem.

Consequently, based on these link weight assignments, the MC-NSRLG problem in Fig. 8 can be reduced to the SP-SRLG problem in Fig. 7, similar to the proof of the MCDCM problem in "Minimum cuts in correlated networks" section.

Figure  2b represents the network with the nodes removed (arrows representing the clusters they connect) highlights that this special sets of nodes becomes a minimum cut set between the YNG and MID networks.

Boykov and Kolmogrov [23] borrowed algorithms for network flows to search the minimum cut of graph-cuts problem.