Examples of using Two vertices in English and their translations into Serbian
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Colloquial
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Ecclesiastic
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Computer
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Latin
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Cyrillic
Which are the other two vertices?
Any two vertices in G can be connected by a unique simple path.
For the existence of Eulerian trails it is necessary that zero or two vertices have an odd degree;
Given a directed graph G=(V,E) and two vertices s and t, we are to find the maximum number of paths from s to t.
Consider a graph known to have all edges in the same component and at most two vertices of odd degree.
An algorithm for generating all the paths between two vertices in a digraph and its application 1988 Ravindra K. Ahuja et al.
The two vertices u andv may be the two vertices in the graph associated with a P node that has two or more virtual edges.
It does so by incrementally improving an estimate on the shortest path between two vertices, until the estimate is optimal.
If there are exactly two vertices of odd degree, all Eulerian paths start at one of them and end at the other.
The Schulze method constructs a complete directed graph in which the vertices represent the candidates and every two vertices are connected by an edge.
The A* search algorithm finds the shortest path between two vertices of a weighted graph, trying out the most promising routes first.
If an edge connects two vertices(Red and Green) and the number of the edge is three, then it means that the third cube has Red and Green faces opposite to each other.
For the existence of Eulerian trails it is necessary that zero or two vertices have an odd degree; this means the Königsberg graph is not Eulerian.
The two vertices u andv may be two vertices in the graph associated with an S node such that either u and v are not adjacent, or the edge uv is virtual.
Chordal graphs, the graphs in which every cycle of four or more vertices has a chord,an edge between two vertices that are not consecutive in the cycle.
Since these paths must leave the two vertices of the pair via disjoint edges, a k-vertex-connected graph must have degeneracy at least k.
A directed graph is called a simple digraph if it has no multiple arrows(two ormore edges that connect the same two vertices in the same direction) and no loops(edges that connect vertices to themselves).
As the ears are attached to the head, two vertices of each triangle can be chosen with more freedom(it is enough to place them somewhere inside the head circle).
Whether there is an edge between two given vertices can be determined at once with an adjacency matrix,while requiring time proportional to the minimum degree of the two vertices with the adjacency list.
If there is no path connecting the two vertices, i.e., if they belong to different connected components, then conventionally the distance is defined as infinite.
At the end of the algorithm there are no edges left, and the sequence from which the edges were chosen forms an Eulerian cycle if the graph has no vertices of odd degree, oran Eulerian trail if there are exactly two vertices of odd degree.
In these graphs, the vertices may be labeled by bitvectors,in such a way that two vertices are adjacent if and only if the corresponding bitvectors differ in a single position.
If two vertices of the graph belong to the same strongly connected component, they must behave the same as each other with respect to all closures: it is not possible for a closure to contain one vertex without containing the other.
An undirected graph has an Eulerian trail if andonly if exactly zero or two vertices have odd degree, and if all of its vertices with nonzero degree belong to a single connected component.
If the two vertices are not adjacent then the two components are represented by two paths of the cycle graph associated with the S node and with the SPQR tree nodes attached to those two paths.
By the pigeonhole principle, every set of r+ 1 vertices in the Turán graph includes two vertices in the same partition subset; therefore, the Turán graph does not contain a clique of size r+ 1.
To prove the correctness of this algorithm, we need to prove that MinimumCutPhase is in fact a minimum s- t{\displaystyle s{\text{-}}t} cut of the graph, where s andt are the two vertices last added in the phase.
Lewis& Papadimitriou(1982) asked whether it is possible to test in logspace whether two vertices belong to the same component of an undirected graph, and defined a complexity class SL of problems logspace-equivalent to connectivity.
In a depth-first search tree, one of the two endpoints of every non-tree edge is an ancestor of the other endpoint, andwhen the depth first search discovers an edge of this type it should check that these two vertices have different colors.
For multigraphs, in which multiple parallel edges may connect the same two vertices, results that are similar to but weaker than Vizing's theorem are known relating the edge chromatic number χ′(G), the maximum degree Δ(G), and the multiplicity μ(G), the maximum number of edges in any bundle of parallel edges.