Exact(5)
print_kmap – Prints Karnaugh map of the logic function of a node.
Identification of the influence function of a node or link in the case of NodeLand and LinkLand algorithms is structurally similar to a breadth-first search, therefore the worst-case runtime complexity of the two algorithms for all nodes or links is O(n(n+e)) and O e(n+e)), respectively, where n is the number of nodes and e is the number of links in the network.
Note that the joint contribution of x2, the out-degree, and x6, the average sensitivity of the Boolean function of a node, is the greatest and significantly larger than all the others.
For example, if the Boolean function of a node with a path length of one is the logical copy function (bias 0.5), then the output of this node is the same as the input received from the extracellular stimulus.
Now, each summand (which is an AND term or a single, possibly negated, logical variable) within the SOP-represented logical function of a node A becomes a hyperedge pointing into this node A. Thus, each hyperedge in the hypergraph can be interpreted as a signaling event, that is, one mode of activation of the downstream node.
Similar(55)
To represent nodes' functional and non-functional characteristics, a node has an association with the following two entities: (1) Node Functional Parameters: consists of characteristics/properties related to the functioning of a node such as operating system type, software version, and the type of the network management system.
The simplest possibility is that link attachment rates a and detachment rates d are functions of a node's connectivity k.
Regarding the first set of simulations, Figure 14 shows the time needed to discover routes and assign weights, as well as the time needed to successfully negotiate all reservations as a function of node density (nodes per coverage area--n/CA).
Impact The time - related effect of damage, comprising: Node impact - the reduction in operational performance and function of a damaged node.
A goal based methodology for HAZOP studies in which a functional model of the plant is used to assist in a functional decomposition of the plant starting from the purpose of the plant and continuing down to the function of a single node, e.g. a pipe section.
Individual nodes with high complexity are the ones that pass the most information from the past to the future, a quantity that depends in a nontrivial way on both the Boolean function of a given node and its location within the network.
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