There is a recursive formula for the number of spanning trees in a graph.
对于一个图的生成树的棵数，存在一个递推公式。
A graph G is supereulerian if G has a spanning eulerian subgraph.
若图G含有生成欧拉子图，则称G是超欧拉的。
A graph is supereulerian if it has a spanning closed trail.
一个含有生成闭迹的图称为超欧拉图。
The minimum labeling spanning tree(MLST) problem is an NP-hard problem in which, given a graph with labeled edges, one seeks a spanning tree with the least number of labels.
最小标记生成树就是其中之一，它的目标是给出一个边上带有颜色的图，计算使用颜色种类最少的生成树。
The graph theory is applied to get the corresponding constraints network graph, and the parts dimension modes are abstracted as spanning trees of the graph.
运用图论的知识来生成相应的约束网络图，进一步将零件的种种标注模式抽象为零件约束网络图的一棵棵生成树。
In this note, no using the contraction method, we prove that if a graph G is one edge short of having two edge-disjoint spanning trees, then G has a cut edge or G is supereulerian.
本文不利用收缩方法，直接证明了：当图G至多差一边有两棵边不相交的生成树时，G是超欧拉图或者G有割边。
The relative importance of two groups of nodes in the graph can be compared with respect to the number of spanning trees.
通过比较生成树的数目，可以判断图中任意数目的两组节点的相对重要性。
Second, a minimum-weight spanning tree of the latter graph is computed.
其次求出后者的最小生成树；
Level diagram example shows the practicality and effectiveness of the construction theorem and counting theorem, which is a simple and easy method to construct a complete graph of the spanning tree.
平图例子验证了构造定理和计数定理的实用性和有效性，是构造一个完全图的生成树的简单易行的方法。
This method ranks the node importance over all nodes in a network. The relative importance of two nodes in a graph is compared in terms of the number of spanning trees.
该方法可以评价全网范围内的节点重要性，通过比较生成树的数目，可以判断通信网中任意两个节点的相对重要性。
The number of spanning trees is an important invariant of a graph, it is also an important measure of the reliability of a network.
图的支撑树数是图的重要的不变量，也是网络可靠性的重要量度。
This paper discusses the application of adjacency matrix at the algorithm's analysis for traversing Graph, Minimum cost Spanning Tree, Topological sort and Critical Path.
对邻接矩阵在图的遍历、最小生成树、拓扑排序和关键路径等算法分析上的应用作了一定的探讨。
This paper discusses the application of adjacency matrix at the algorithm's analysis for traversing Graph, Minimum cost Spanning Tree, Topological sort and Critical Path.
对邻接矩阵在图的遍历、最小生成树、拓扑排序和关键路径等算法分析上的应用作了一定的探讨。
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