Примери коришћења Each vertex на Енглеском и њихови преводи на Српски
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Hamiltonian path- a path that visits each vertex exactly once.
So for each vertex v, we maintain three sets of edges(backward, local and forward).
A Hamiltonian cycle is a cycle that visits each vertex exactly once.
Compute a number dv for each vertex v in G, the number of neighbors of v that are not already in L.
According to the choice rule in Line 2, a unique color i{\displaystyle i}should be assigned to each vertex x{\displaystyle x}.
Each vertex is visited in the order v1, v2,…, v|V|, relaxing each outgoing edge from that vertex in Ef.
The problem of finding a single simple cycle that covers each vertex exactly once, rather than covering the edges, is much harder.
Each vertex in one of the graphs Gx may be associated in this way with a unique vertex in GT, the supervertex into which it was merged.
This model can also find the K shortest paths from a given source s to each vertex in the graph, in total time O(m+ n log n+ kn).
To derive a curve of order i, each vertex of the basic curve is replaced by the curve of order i- 1, which may be appropriately rotated and/or reflected.
An implementation suggested by Guido van Rossum uses a hash table to associate each vertex in a graph with an array of adjacent vertices. .
A 2-degenerate graph: each vertex has at most two neighbors to its left, so the rightmostvertex of any subgraph has degree at most two.
If a museum is represented in three dimensions as a polyhedron,then putting a guard at each vertex will not ensure that all of the museum is under observation.
In both algorithms,the approximate distance to each vertex is always an overestimate of the true distance, and is replaced by the minimum of its old value and the length of a newly found path.
The Barabási-Albert model for generating random scale-free networks is parameterized by a number m such that each vertex that is added to the graph has m previously-added vertices. .
In this example, Δ(G)= 2μ(G)(each vertex is incident to only two out of the three bundles of μ(G) parallel edges) but the edge chromatic number is 3μ(G)(there are 3μ(G) edges in total, and every two edges are adjacent, so all edges must be assigned different colors to each other).
If there are no negative-weight cycles, then every shortest path visits each vertex at most once, so at step 3 no further improvements can be made.
If each vertex of the permutohedron is labeled by the inverse permutation to the permutation defined by its vertex coordinates, the resulting labeling describes a Cayley graph of the symmetric group of permutations on n items, as generated by the permutations that swap adjacent pairs of items.
Second, the Bellman-Ford algorithm is used, starting from the new vertex q,to find for each vertex v the minimum weight h(v) of a path from q to v. If this step detects a negative cycle, the algorithm is terminated.
For an infinite graph G, one may define the coloring number analogously to the definition for finite graphs,as the smallest cardinal number α such that there exists a well-ordering of the vertices of G in which each vertex has fewer than α neighbors that are earlier in the ordering.
In more detail, the algorithm proceeds as follows:Initialize an output list L. Compute a number dv for each vertex v in G, the number of neighbors of v that are not already in L. Initially, these numbers are just the degrees of the vertices. .
Suppose again there exists an algorithm such that, given a graph G anda coloring which maps each vertex of G to one of the k colors, it finds a copy of colorful H, if one exists, within some runtime O(r).
For instance, rectangular subdivisions(partitions of a rectangular subdivision into smaller rectangles, with three rectangles meeting at every vertex) may be described combinatorially by a"regular labeling", a two-coloring of the edges of a triangulation dual to the subdivision,with the constraint that the edges incident to each vertex form four contiguous subsequences, within each of which the colors are the same.
One can view the same problem graph-theoretically, by constructing a functional graph(that is,a directed graph in which each vertex has a single outgoing edge) the vertices of which are the elements of S and the edges of which map an element to the corresponding function value, as shown in the figure.
For example, it is possible to find shortest paths and longest paths from a given starting vertex in DAGs in linear time by processing the vertices in a topological order, andcalculating the path length for each vertex to be the minimum or maximum length obtained via any of its incoming edges.
The“middle-level” subgraph$Q_{2n+1}(n)$ is vertex-transitive(that is, its automorphism group is transitive,so that each vertex has the same“local environment” and cannot be differentiated from the others, since we can relabel the coordinates as well as the binary digits to obtain an automorphism) and the problem of finding a Hamiltonian path in this subgraph is called the“middle-levels problem”, which can provide insights into the more general conjecture.
The coloring number of a graph G was defined by Erdős& Hajnal(1966)to be the least κ for which there exists an ordering of the vertices of G in which each vertex has fewer than κ neighbors that are earlier in the ordering.
By using a data structure such as a doubly linked list to maintain the set of unused edges incident to each vertex, to maintain the list of vertices on the current tour that have unused edges, and to maintain the tour itself,the individual operations of the algorithm(finding unused edges exiting each vertex, finding a new starting vertex for a tour, and connecting two tours that share a vertex) may be performed in constant time each, so the overall algorithm takes linear time,.[8].
We know that(1) each dominating set V i{\displaystyle V_{i}} must contain at least one vertex in N{\displaystyle N}(domination),and(2) each vertex in N{\displaystyle N} is contained in at most one dominating set V i{\displaystyle V_{i}}(disjointness).