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Let (Delta=Delta(G)) be the maximum degree of a graph G.
Hence, we consider disease transmission in a finite population in this paper, and let n be the maximum degree.
Then, the optimum decision can be determined to be the maximum degree of membership for the fuzzy decision: M ax x ∈ F μ F x = max x ∈ F min μ Z 1 x, μ Z 2 x,...., μ Zk x.
Let Δ a be the maximum degree taken over all allowed vertices.
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Here Δ is the maximum degree of the input graph.
where Δ is the maximum degree of V. Average TimeSynch.
The time complexity is O Δ3), where Δ is the maximum degree.
where is the nominal PDF under hypothesis, in is the maximum degree of contamination, and is an arbitrary density function.
The time complexity is O and message complexity is O(n Δ2), where Δ is the maximum degree.
Madiman and Barron [41] showed that Conjecture 2 is true if is replaced by, where is the maximum degree in.
d max is the maximum degree of the generated network; (frac {d_{text {max}}}{|E|}) gives the proportion of edges that involve the maximum degree node.
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