Sentence examples for in the subnet of from inspiring English sources

Pre and post conditions: (1) It is verified that the input actor is critical and exist in the subnet of the network topology.

Node j will sponsor its own rule-set to the rest of the nodes so that every node is aware of a global rule-set R = ⋃ j r j ; ∀ j ∈ N. The routing table of any node i contains the next hop and the distance in terms of hops to reach j (and all the nodes in the subnet of j).

The P/T system associated to (p in mathcal {P}^{gamma }) is the subnet of (N_{mathrm{MCCS}}) statically reachable from the initial marking ({mathrm{dec}}(p)).

(3) All the edges in the subnet consist of two nodes.

Pre/post-condition The actors of the subnet move back in the subnet if and only if position of the actors becomes equal to the position of the subnet.

A random subnet comprising e.g. p = 60% of the nodes of the true network differs quite substantially from the true network (here p is the probability of sampling a node; the fraction of nodes included in the subnet is binomially distributed with probability p).

The benefit of partitioning the network into subnets is that the computation/processing localizes to large extent in the subnet which increases the energy efficiency of the network.

It takes output of the above function as input and selects a gateway from gateways on the basis of position in the subnet and then backup is assigned.

Sacrificing mass balance for these, is arguably not a serious loss of information, as an excess or lack of the molecule in the subnet can be assumed to be made up by other subnets.

The existence of this kind of limited overlap between two subnets does not compromise the integrity of either as a coherent subnet: it remains true that for all internal metabolites in a subnet, all reactions in which they participate are included in the subnet, and so the mass conservation constraints of all internal metabolites are identical in the subnet and in the full network.

In general, single-node properties of proteins are statistically conserved in the subnet, e.g. the protein with the highest degree will, provided it is being included in the sample, tend to have the highest degree also in the subnet.