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expand a subgraph from s j up to depth l under the current graph setting such that the cardinality of N s j l stops increasing but is less than m, or N ̄ s j l + 1 ≠ ∅ but N ̄ s j l + 1 ≠ ∅, then E s j k ← edge ( c i, s j ), where E s j k is the k th edge incident on s j and c i is a check node picked from N ̄ s j l having the lowest check-node degree.
expand a subgraph from s j up to depth l under the current graph setting such that N ̄ s j l ∩ S C ≠ ∅ but N ̄ s j l + 1 ∩ S C = ∅, or the cardinality of N s j l stops increasing, then E s j k ← edge ( c i, s j ), where E s j k is the k th edge incident to s j and c i is a check node picked from the set N ̄ s j l ∩ S C having the lowest check-node degree.
Similar(58)
Moreover, the core node picks a random natural number Rc.
And then node picks another random destination and move speed.
Over hearing means that a node picks up packets that are destined for other nodes.
A node picks a random number, r, between 0 and 1.
For example, if the auxiliary node picks the initial key, it will also preload. .
For example, if the auxiliary node picks the initial key, it will also preload.
{Type_of_message, INIT} Moreover, the core node picks a random natural number Rc.
Additionally, we simulate that the fake node picks the real node as its MPR, meaning that the latter should propagate any TC messages generated by the former one.
Following the data-centric requirement, the collector node picks the neighbor nodes that have not only sufficient storage but also the matching type of data that will be transferred.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com