几种复合图生成树个数的一般求法

若一个图能够由某一个或某几个运算作用于不相交的图上而得到，则称该图为复合图．记ｔ（Ｇ）为图Ｇ的生成树个数，Ｈ（Ｇ）为图Ｇ的Ｋｉｒｃｈｈｏｆｆ矩阵，用“ｏ”表示图的某种运算，如“＋”，“×”，“合成”等，本文研究了Ｈ（ＧｏＧ′）与Ｈ（Ｇ），Ｈ（Ｇ′）的特征值关系，给出了ｔ（ＧｏＧ′）的一般性公式，提供了几种复合图生成树个数的一般性公式，提供了几种复合图生成树个数的一般求法，大大推广了［２，３］的结果，同时简化了许多图类生成树个数表达式的求法．     

去掉一些连续弦的轮图的补图的色多项式

本文给出计算图的色多项式的新方法。特别的,对轮图中去掉一些连续弦后所得到的图的补图,给出了它的色多项式的计算公式。     

广义轮图的色多项式唯一性

本文证明了:当k≥0,n≥4为偶数时,广义轮图θ_n,k色多项式唯一。同时,也用较简单的方法证明了:对于一个图G,其色多项式为P_λ(G)=λ…(λ-q+1)·(λ-q)^n-q当且仅当G为n阶q-树。     

一类循环图在射影平面上的嵌入北大核心CSCD

嵌入的联树模型是研究图的曲面嵌入的一种有效方法,尤其能方便快捷地研究图在球面,环面,射影平面,Klein瓶上的嵌入。此方法通过合理选择生成树,得到联树和关联曲面,然后对关联曲面进行计数,计算出图在曲面上的嵌入个数.本文利用嵌入的联树模型得出了循环图C(2n+1,2)(n>2)在射影平面上的嵌入个数.     

几类图的支撑树的个数

推广了计算图的支撑树个数的递归公式,解释了组合计数原理的用法.用组合技巧和常系数线性递归序列的解法,对n步梯、n-棱柱、Mobius n-棱柱及有关图,找到了计算它们的支撑树的个数的若干公式.     

关于轮网络的一簇猜想

轮网络是由Cayley图模型设计出来的一种新型互连网络模型.星网络、冒泡排序网络、修正冒泡排序网络可嵌入轮网络.为了揭示它的整体结构,对轮网络提出如下一簇猜想:轮网络是边不交的i个Hamilton圈及2(n-i)-2个完美匹配的并,其中1≤i≤(n-1);并证明了当n=4,5,6,1≤i≤3时,猜想成立.     

多重圈梯图在射影平面上的嵌入个数

图在不同亏格曲面上的嵌入个数常常有相关关系,因此,分析一些图类在小亏格曲面上的嵌入个数对最终确定图的亏格分布和完全亏格分布有着重要意义,本文利用嵌入的联树模型得出了多重圈梯图在射影平面上的嵌入个数.     

几类图的pebbling数

金芳蓉定义了图 G上的一个 pebbling 移动是从一个顶点处移走两个pebble 而把其中的一个移到与其相邻的一个顶点上. 图G的pebbling数f(G)是最小的整数n, 使得不管n 个pebble 如何放置在G的顶点上, 总可以通过一系列的 pebbling 移动把一个pebble 移到 G的任一个顶点上. Graham 猜测对于任意的连通图G和H有f(G×H)≤f(G)f(H). 计算了两个扇图的积和两个轮图的积的pebbling数, 作为推论, 当G和H同时是扇图或轮图时, Graham 猜想成立.     

Mycielski图的BBC染色

基于图G的Mycielski图M（G）,研究xb（G,TG）与xb（M（G）,T’）之间的关系以及xb（G,TG）与xb（M（G）,T＂）之间的关系,其中Tc为G的生成树,T’,T＂分别为M（G）的两类特殊生成树．并给出当G为二部图,完全图以及Halin图时,Xb（M（G）,T＂）的值．     

关于轮图优美标号的性质

设G=(V(G)),E(G))为p个顶点,q条边的连通简单图,以x和y为端点的边记作(x,y).定义1 称l为G的一个优美标号,如果l是一个单射:l:V(G)→{0,1,…,q}使得对所有边(x,y)∈E(G),由(?)(x,y)=|l(x)-l(y)|所定义的函数是一个—一对应.并称l(x)为顶点x的优美值.     

一些图的生成树数

图 G 的生成树是它的连通子图(子树).本文精确地计算出了一些图的生成树的数目, 例如双心轮图、双柄扇图等等.     

A Benders decomposition approach for the robust spanning tree problem with interval data

The robust spanning tree problem is a variation, motivated by telecommunications applications, of the classic minimum spanning tree problem. In the robust spanning tree problem edge costs lie in an interval instead of having a fixed value.Interval numbers model uncertainty about the exact cost values. A robust spanning tree is a spanning tree whose total cost minimizes the maximum deviation from the optimal spanning tree over all realizations of the edge costs. This robustness concept is formalized in mathematical terms and is used to drive optimization.This paper describes a new exact method, based on Benders decomposition, for the robust spanning tree problem with interval data. Computational results highlight the efficiency of the new method, which is shown to be very fast on all the benchmarks considered, and in particular on those that were harder to solve for the methods previously known.     

A branch and bound algorithm for the robust spanning tree problem with interval data

The robust spanning tree problem is a variation, motivated by telecommunications applications, of the classic minimum spanning tree problem. In the robust spanning tree problem edge costs lie in an interval instead of having a fixed value.Interval numbers model uncertainty about the exact cost values. A robust spanning tree is a spanning tree whose total cost minimizes the maximum deviation from the optimal spanning tree over all realizations of the edge costs. This robustness concept is formalized in mathematical terms and is used to drive optimization.In this paper a branch and bound algorithm for the robust spanning tree problem is proposed. The method embeds the extension of some results previously presented in the literature and some new elements, such as a new lower bound and some new reduction rules, all based on the exploitation of some peculiarities of the branching strategy adopted.Computational results obtained by the algorithm are presented. The technique we propose is up to 210 faster than methods recently appeared in the literature.     

关于生成树数目公式的概率求法

本文通过一个数学模型，采用古典概率的方法给出了k_n生成树数目的计算公式。     

Spanning trees of extended graphs

A generalization of the Prüfer coding of trees is given providing a natural correspondence between the set of codes of spanning trees of a graph and the set of codes of spanning trees of theextension of the graph. This correspondence prompts us to introduce and to investigate a notion ofthe spanning tree volume of a graph and provides a simple relation between the volumes of a graph and its extension (and in particular a simple relation between the spanning tree numbers of a graph and its uniform extension). These results can be used to obtain simple purely combinatorial proofs of many previous results obtained by the Matrix-tree theorem on the number of spanning trees of a graph. The results also make it possible to construct graphs with the maximal number of spanning trees in some classes of graphs.     

On the spanning tree packing number of a graph: a survey

The spanning tree packing number or STP number of a graph G is the maximum number of edge-disjoint spanning trees contained in G. We use an observation of Paul Catlin to investigate the STP numbers of several families of graphs including quasi-random graphs, regular graphs, complete bipartite graphs, cartesian products and the hypercubes.     

On the inverse problem of minimum spanning tree with partition constraints

In this paper we first discuss the properties of minimum spanning tree and minimum spanning tree with partition constraints. We then concentrate on the inverse problem of minimum spanning tree with partition constraints in which we need to adjust the weights of the edges in a network as less as possible so that a given spanning tree becomes the minimum one among all spanning trees that satisfy the partition restriction. Based on the calculation of maximum cost flow in networks, we propose a strongly polynomial algorithm for solving the problem.The author gratefully acknowledges the partial support of Croucher Foundation.     

Clustering Methods in Microarrays

Summary DCT Given a finite set of points in an Euclidean space the \emph{spanning tree} is a tree of minimal length having the given points as vertices. The length of the tree is the sum of the distances of all connected point pairs of the tree. The clustering tree with a given length of a given finite set of points is the spanning tree of an appropriately chosen other set of points approximating the given set of points with minimal sum of square distances among all spanning trees with the given length. DCM A matrix of real numbers is said to be column monotone orderable if there exists an ordering of columns of the matrix such that all rows of the matrix become monotone after ordering. The {\emph{monotone sum of squares of a matrix}} is the minimum of sum of squares of differences of the elements of the matrix and a column monotone orderable matrix where the minimum is taken on the set of all column monotone orderable matrices. Decomposition clusters of monotone orderings of a matrix is a clustering ofthe rows of the matrix into given number of clusters such that thesum of monotone sum of squares of the matrices formed by the rowsof the same cluster is minimal.DCP A matrix of real numbers is said to be column partitionable if there exists a partition of the columns such that the elements belonging to the same subset of the partition are equal in each row. Given a partition of the columns of a matrix the partition sum of squares of the matrix is the minimum of the sum of square of differences of the elements of the matrix and a column partitionable matrix where the minimum is taken on the set of all column partitionable matrices. Decomposition of the rows of a matrix into clusters of partitions is the minimization of the corresponding partition sum of squares given the number of clusters and the sizes of the subsets of the partitions.     

On tree congestion of graphs

This paper investigates the problem of embedding a graph into a tree with the same vertex set (a spanning tree in particular), such that the maximum congestion of the edges is minimized. We calculate exact formulas for the tree congestion and spanning tree congestion for various families of graphs, including grids and complete bipartite graphs.     

Minimum congestion spanning trees in bipartite and random graphs

The first problem considered in this article reads: is it possible to find upper estimates for the spanning tree congestion in bipartite graphs, which are better than those for general graphs? It is proved that there exists a bipartite version of the known graph with spanning tree congestion of order n 3 2 , where n is the number of vertices. The second problem is to estimate spanning tree congestion of random graphs. It is proved that the standard model of random graphs cannot be used to find graphs whose spanning tree congestion has order greater than n 3 2 .