Results 31 to 40 of about 174,518,636 (296)
Random graphs with forbidden vertex degrees [PDF]
Abstract We study the random graph G n ,λ/ n conditioned on the event that all vertex degrees lie in some given subset ...
Geoffrey R. Grimmett, Svante Janson
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On structural parameterizations of the bounded-degree vertex deletion problem [PDF]
We study the parameterized complexity of the Bounded-Degree Vertex Deletion problem (BDD), where the aim is to find a maximum induced subgraph whose maximum degree is below a given degree bound.
Ordyniak, Sebastian +11 more
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Cost-based analyses of random neighbor and derived sampling methods
Random neighbor sampling, or RN, is a method for sampling vertices with a mean degree greater than that of the graph. Instead of naïvely sampling a vertex from a graph and retaining it (‘random vertex’ or RV), a neighbor of the vertex is selected instead.
Yitzchak Novick, Amotz Bar-Noy
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Graph realizations: Maximum degree in vertex neighborhoods
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Amotz Bar-Noy +3 more
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On single-valued co-neutrosophic graphs [PDF]
In this paper, we introduce the notion of a single-valued co-neutrosophic graphs and study some methods of construction of new single-valued co-neutrosophic graphs.
R. Dhavaseelan +3 more
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On Triangulations with High Vertex Degree [PDF]
We solve three enumerative problems concerning families of planar maps. More precisely, we establish algebraic equations for the generating function of non-separable triangulations in which all vertices have degree at least d, for a certain value d chosen in {3, 4, 5}.
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Extremal Graphs to Vertex Degree Function Index for Convex Functions
The vertex-degree function index Hf(Γ) is defined as Hf(Γ)=∑v∈V(Γ)f(d(v)) for a function f(x) defined on non-negative real numbers.
Zhen Ji +3 more
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A graph that has a Smarandachely vertex-mean k-labeling is called Smarandachely k vertex-mean graph or Smarandachely k V -mean graph. Particularly, if k = 0, such a Smarandachely vertex-mean 0-labeling and Smarandachely 0 vertex-mean graph or ...
Lourdusamy, A., Seenivasan, M.
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Usefulness of Combinations of Vertex-Degree Weighted Path Indices and Elements of a Universal Matrix
The mutually optimized combinations of vertex-degree weighted path indices and the vertex-degree vertex-distance weighted elements of the Universal matrix were applied in the way of TInew = ∑kN×PN(aN,bN,...) + kij×uij(aij,bij,cij).
Anton Perdih
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On Certain Types of Neutrosophic Fuzzy Graphs
In this paper, we introduce some types of NF graphs and operations. Also we define the partial NF subgraph, spanning NF subgraph, strong degree of the vertex, total strong degree of the vertex and its properties are included.
Alias B. Khalaf, Prithivirajan Padma
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