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Each VN can run personalized protocol and designate its own topology with different node and link constraints in the PN.
Given a set of rigid parts and prescribed joints, the first problem consists in deciding whether there exists an assembly of these parts matching the link constraints.
When both the node and link constraints are considered, the VN embedding problem is NP-hard, even in an offline situation.
This paper concerns the problem of VN embedding, which is to embed or map the VNs to the PN while satisfying its node and link constraints.
Both models start by dividing the problem into one of the link constraints (i.e., usage of links by streams) and medium constraints (i.e., usage of the medium by links).
Node mapping places the virtual nodes into different N p while satisfying their node constraints; link mapping places the virtual links into the P p while satisfying their link constraints.
Similar(53)
One challenging problem occurs when and whether a violation of the link constraint should be penalized.
In traditional semi-supervised clustering algorithms, a violation of the link constraint is always penalized.
To resolve the hidden node problem, we impose a link constraint on the receive power at each unintended destination node.
For pairwise constrained clustering, we consider a framework that has pairwise must- link and cannot-link constraints (with an associated cost of violating each constraint) between instants in a dataset, in addition to having distances between the instants.
We study the effects of linking constraints on stability, efficiency and network formation.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com