网络中一类最短支撑树的计算方法

本文在无向赋权图求最短路的Dijkstra算法的基础上,提出了在有向网络图中寻找具有一个枢纽点且与其它各点均有定向联系的最短支撑树的算法,同时还给出了应用该算法的一个计算实例。     

计算最小支撑出树的一种简便算法

本文通过对网络中有向支撑出树性质的研究,提出了在有向网络图中寻找以某一定点为根的最小有向支撑出树一种较简便的计算方法,并给出了应用该算法进行实际操作的一个算例．     

有向图中几类支撑树数目的计算公式

将W.T.Tultte提出的计算有向图中以某点为根的支撑出树数目的公式推广到了更一般的情况,并给出了有向图中具有不同特点的支撑树数目的计算公式。     

带有边集限制的最均匀支撑树问题

本在无向网络中，建立了带有边集限制的最均匀支撑树问题的网络模型．中首先解决最均匀支撑树问题，并给出求无向网络中最均匀支撑树的多项式时间算法；然后，给出了求无向网络中带有边集限制的最小树多项式时间算法；最后，在已解决的两个问题的基础上解决了带有边集限制的最均匀支撑树问题．     

Minimum Global Height支撑树及相关问题

本文研究了两个组合优化问题:minimum g1obal height支撑树和minimum aveageheight支撑树问题.利用3SAT问题的时间复杂性,本文证明了这两个问题都是NP-hard的,并分别给出了一个算法,即（mgh）-算法和（mah）-算法.在非负网络中,这两个算法的时间复杂性都为O（n3）.利用第一个问题的复杂性,本文证明了minimum height支撑树问题也是NP-hard的,从而纠正了有关文献中的一个错误结论.     

有向网络中具有一个枢纽点的最小支撑树的计算方法

对有向网络中具有一个枢纽点的支撑树的问题和性质进行了研究,给出了在有向网络图中寻找以某一定点为枢纽点的最小支撑树的计算方法,并对算法的复杂性进行了讨论,最后将该算法应用于实际算例的计算．     

一个在置换图中寻找DFS树的最优算法

本是通过在连通置换图中构造辅助树的方法,给出了一个在具有n个顶点的置换图G中寻找深度优先支撑树（简称,DFS树）的最优算法,并证明了该算法的时间复杂性为O(n)。     

广义de Bruijn有向图及其叠线图的支撑树与欧拉环游的计数

给出了一类特殊的广义deBruijn有向图的支撑树与欧环游的数目的简洁表示式，并得到了广义deBruijn有向叠线图的支撑树与欧拉环境数目的计算公式。     

瓶颈型Hamming距离下约束最小支撑树的反问题

本文讨论了瓶颈型Hamming距离下约束最小支撑树的反问题,通过修改给定网络边上的权,使得修改后网络中指定的支撑树是最小支撑树并且支撑树中的最大边的权不超过给定的常数,用瓶颈型Hamming距离来衡量修改的费用,且修改费用最小. 把瓶颈型Hamming距离下约束最小支撑树的反问题转化为最小瓶颈权点覆盖问题,并给出了多项式算法.     

最小费用k度限制树对策

本在Glover—Klingman算法及最小费用支撑树对策的基础上，讨论了最小费用k度限制树对策问题．利用威胁、旁支付理论制订了两种规则，并利用优超、策略等价理论分别给出了在这两种规则下最小费用k度限制树对策核心中的解，从而证明了在这两种规则下其核心非空．     

扩展de Bruijn图的生成树和广播

扩展de Bruijn图EB(d,m;h1,h2,…,hk)是de Bruijn图的一种推广,它是一种再要的网络互连结构.本文主要研究扩展de Bruijn图中的有根生成树,证明了对任何顶点u和任意整数r:2≤r≤d,扩展de Bruijn图都有以u为根且深度为[log(?),d]·max{hi:1≤i≤k}的rk-叉生成树,并由此获得了扩展de Bruijn图的广播时间的上界.     

轮图和多轮图的生成树的计数

本文应用计算生成树个数的有向图方法、分块矩阵的行列式计算法以及常系数线性递归方程的解法 ,计算得到轮图和多轮图的生成树个数的表达式 (显式或递推式 )     

A CAPACITY EXPANSION PROBLEM WITH BUDGET CONSTRAINT AND BOTTLENECK LIMITATION

1 IntroductionIn [2] tl1e authors considered a type of coustrained maximim capacity path problem whichcan be described briefly as: kuowing the costs for expallding one unit of capacity along differentedge8 of a l1etwork aud the availabIe budget, how to iucrease the caparities of the edges so thattlle capasity between any pair of nodes in the lletwork can be raised unifornily to the maximumextent? As the total cost is a summation of the expansion costs on all edges, this problem i8related to mi…     

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.     

Comparison of Algorithms for the Degree Constrained Minimum Spanning Tree

The Degree Constrained Minimum Spanning Tree (DCMST) on a graph is the problem of generating a minimum spanning tree with constraints on the number of arcs that can be incident to vertices of the graph. In this paper we develop three heuristics for the DCMST, including simulated annealing, a genetic algorithm and a method based on problem space search. We propose alternative tree representations to facilitate the neighbourhood searches for the genetic algorithm. The tree representation that we use for the genetic algorithm can be generalised to other tree optimisation problems as well. We compare the computational performance of all of these approaches against the performance of an exact solution approach in the literature. In addition, we also develop a new exact solution approach based on the combinatorial structure of the problem. We test all of these approaches using standard problems taken from the literature and some new test problems that we generate.     

On Minimum Edge Ranking Spanning Trees

In this paper, we introduce the problem of computing a minimum edge ranking spanning tree (MERST); i.e., find a spanning tree of a given graph G whose edge ranking is minimum. Although the minimum edge ranking of a given tree can be computed in polynomial time, we show that problem MERST is NP-hard. Furthermore, we present an approximation algorithm for MERST, which realizes its worst case performance ratio where n is the number of vertices in G and Δ* is the maximum degree of a spanning tree whose maximum degree is minimum. Although the approximation algorithm is a combination of two existing algorithms for the restricted spanning tree problem and for the minimum edge ranking problem of trees, the analysis is based on novel properties of the edge ranking of trees.