Examples of using Minimum spanning in English and their translations into Russian
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Construction of the minimum spanning tree MST.
If such an edge[math]e_F[/math] is unique,then it belongs to the minimum spanning tree.
For a disconnected graph, the list of minimum spanning trees for all connected components.
If[math]e*[/math] is the only edge in a graph that has the minimum weight,then it belongs to the minimum spanning tree.
The chosen edges are added to the minimum spanning tree, and the corresponding fragments are merged.
In the case where this condition of distinct weights is not fulfilled,one can easily construct an example with more than one minimum spanning tree.
In this case, it is required to find the minimum spanning tree for each connected component of[math]G/math.
This inverse appears in the time complexity of some algorithms, such as the disjoint-set data structure andChazelle's algorithm for minimum spanning trees.
Output data: the list of edges of a minimum spanning tree.
Let[math]F[/math] be a fragment of the minimum spanning tree, and let[math]e_F[/math] be an edge with the least weight outgoing from[math]F/math.
For uniformly random point sets it is possible to compute minimum spanning trees as quickly as sorting.
At the upper level, the minimum spanning trees may be searched for separate parts of the list of graph edges parallel operations"compute_MST" in figure 2.
The Borůvka algorithm[1][2]was designed for constructing the minimum spanning tree in a weighted undirected graph.
Besides, the computation of each minimum spanning tree(parallel operations"compute_MST" in figure 2) has an intrinsic resource of parallelism discussed below.
The reverse-delete algorithm is an algorithm in graph theory used to obtain a minimum spanning tree from a given connected, edge-weighted graph.
An obvious application of Euclidean minimum spanning trees is to find the cheapest network of wires or pipes to connect a set of places, assuming the links cost a fixed amount per unit length.
Keywords: brain functional relationship; neuronal network;graph theory; minimum spanning tree; hand preference; electroencephalography.
In higher dimensions, the connectivity determined by the Delaunay triangulation(which, likewise, partitions the convex hull into d-dimensional simplices)contains the minimum spanning tree; however.
On basis of the obtained graphs we built minimum spanning trees(MST) and calculated some of their characteristics.
On the other hand, if the edges are undirected,the problem of deleting edges to make the graph cycle-free is equivalent to finding a minimum spanning tree, which can be done easily in polynomial time.
In Borůvka's algorithm, the fragments of the minimum spanning tree are build up gradually by joining minimum edges outgoing from each fragment.
Asymptotically optimal values for these measures are O( n){\displaystyle O(n)} edges, O( M S T){\displaystyle O(MST)} weight and O( 1){\displaystyle O(1)}maximum degree here MST denotes the weight of the minimum spanning tree.
Then the union of[math]F[/math]and the minimum spanning tree of[math]G'[/math] yields the minimum spanning tree of the original graph[math]G/math.
Some popular algorithms of this category are normalized cuts, random walker, minimum cut,isoperimetric partitioning, minimum spanning tree-based segmentation, and segmentation-based object categorization.
Then the union of[math]F[/math]and a minimum spanning tree of the graph[math]G'[/math] is a minimum spanning tree of the original graph[math]G/math.
As already said, the upper level of parallelism, illustrated by figure 2,refers to the parallel computation of minimum spanning trees(operation"compute mst") for different parts of the original graph.
The minimum spanning pseudoforest problem involves finding a spanning pseudoforest of minimum weight in a larger edge-weighted graph G. Due to the matroid structure of pseudoforests, minimum-weight maximal pseudoforests may be found by greedy algorithms similar to those for the minimum spanning tree problem.
If the original graph[math]G[/math] is disconnected, then a set composed of minimum spanning trees for all the connected components is called a minimum spanning forest MSF.
The rest of the paper considers optimizations for particular problems: creation of Maximal Independent Set(MIS),Finding Set of Bridges(FSB), creation of Minimum Spanning Tree(MST) in a edge-weighted graph.