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1)  binding number
联结数
1.
Toughness and binding number are two important parameters in graph theory.
本文研究了图中两个重要的参数联结数和韧度,以及两个参数与因子和分数因子之间关系,并证明了图有分数因子的一个充分条件;还探讨了子图的结构,得出了子图的任一分支的韧度与图本身的韧度的关系。
2.
Let G be a graph,and the binding number of G is defined asbind(G)=min|N_G(X)||X|:≠XV(G),N_G(X)≠V(G)The relationship between the existence of factional factors and the binding numbers bind(G) of graphs is discussed.
设G是一个简单无向图,G的联结数定义为bind(G)=min|NG(X)||X|:≠X V(G),NG(X)≠V(G)本文讨论了图的联结数bind(G)与图的分数因子存在性的关系,给出了图有分数因子的若干充分条件。
3.
Let G be a graph,the binding number of G is defined as bind(G)=min|N_G(X)||X|:Ф≠XV(G),N_G(X)≠V(G)The relationship of binding numbers bind(G) to factional -factors of graphs was discussed,and some sufficient conditions of existence of fractional -factors with the graphs were given.
设G是一个简单无向图,G的联结数定义为bind(G)=min|NG(X)||X|:Ф≠X V(G),NG(X)≠V(G)研究了图的联结数bind(G)与图的分数[a,b]-因子之间的关系,给出了图有分数[a,b]-因子的若干充分条件。
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2)  copula [英]['kɔpjələ]  [美]['kɑpjələ]
联结函数
1.
Application of copulas to multivariate hydrological frequency analysis;
Copula联结函数在多变量水文频率分析中的应用
3)  association coefficient
联结系数
1.
To explore the association between dominant plant populations,the interspecific associations of dominant tree and shrub populations together with niche plants in an evergreen broadleaf forest of Shiyang Forestry Center,Zhejiang Province were studied based on a 2×2 contingency table using percentage of co-occurrence(C) and association coefficient(D).
基于2×2联列表,应用种间共同出现百分率(C)和联结系数(D)等公式测定了浙江省石垟森林公园常绿阔叶林16种主要乔木和23种主要灌木种群的种间联结性。
2.
The result of association coefficient showed that Quercus aliena var.
应用联结系数研究种间关系，结果显示：锐齿栎和榛子为正联结，对环境要求相同，锐齿栎和胡枝子为负联结，对环境反应不同，和箭竹联结系数较低，联结不明显。
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4)  association indice
联结指数
5)  total binding number
全联结数
1.
The calculated formulas of total binding number for the tree and the wheel are given.
给出树和轮的全联结数的计算公式。
6)  edge-binding number
边联结数
1.
In this paper,the edge-binding numbers of tensor product graphs are studied.
ｎ）），已求得路与圈、圈与圈、路与完全图、圈与完全图、路与完全偶图、圈与完全偶图、完全图与完全图、完全图与完全偶图、完全偶图与完全偶图的张亡积图的边联结数。
补充资料：数不胜数
1.数也数不清。形容很多。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
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