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is the number of minimum lucky nodes for a specified destination.
A feature network must not contain any activating nodes for a final prediction to be active.
Then the candidate images are transferred to the slave nodes for a refinement process to obtain the answer set.
These numerical experiments show that the bandwidth-based approach produces superior convergence rates, and hence requires fewer mesh nodes for a given level of solution accuracy.
However, this requires an unrealistically large number of computational nodes for a chondrule-sized object (~109μ m3).
Typically, the source and the destination nodes for a particular data packet are not within direct communication range.
This simple algorithm greatly improves the probability of positioning of sensor nodes for a moderate density of anchor nodes.
For the moment there is no formula for determining the optimal number of nodes for a given graph.
We consider the path/order representation for a chromosome that simply lists the nodes for a Max-TSP instance.
Fig. 2 Schematic representation of throughput vs number of nodes for a DSR and b PA-DSR.
The average number of destination nodes for a multicast connection is 7.5 and varies from 2 to 15.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com