网络最短的最优解集结构

The shortest path problem in a network G is to find shortest paths between some specified source vertices and terminal vertices when the lengths of edges are given. The structure of the optimal solutions set on the shortest paths is studied in this paper. First,the conditions of having unique shortest path between two distinguished vertices s and t in a network G are discussed;Second,the structural properties of 2-transformation graph (?) on the shortest-paths for G are presented heavily.     

关于GB8052—87中各CSP方案的LQ值的验证和计算

本文指出了ＧＢ８０５２—８７中ＣＳＰ—１、ＣＳＰ—２和ＣＳＰ—Ｔ方案的ＬＱ值的误差，计算并给出一套精度为１０（－４）的ＬＱ值．     

k割宽临界树的构造（英文）

The cutwidth of a graph G is the minimum number of overlap edges when G is embedded into a path Pn. The cutwidth problem for a graph G is to determine the cutwidth of G. A graph G with cutwidth k is k-cutwidth critical if every proper subgraph of G has cutwidth less than k and G is homeomorphically minimal. In this paper, we completely investigated methods of forming a k-cutwidth(k > 1) critical tree T.     

最小填充问题的可分解性

起源于稀疏矩阵计算和其它应用领域的图G的最小填充问题是在图G中寻求一个内含边数最小的边集F使得G F是弦图.这里最小值|F|称为图G的填充数,表示为f(G).作为NP-困难问题,该问题的降维性质已被研究,其中包括它的可分解性.基本的可分解定理是:如果图G的一个点割集S是一个团,则G经由S是可分解的.作为推广,如果S是一个"近似"团(即只有极少数边丢失的团),则G经由S是可分解的.本文首先给出基本分解定理的另外一个推广:如果S是G的一个极小点割集且G-S含有至少|S|个分支,则G经由S是可分解的;其次,给出了这个新推广定理的一些应用.     

树的线图的图扩充问题

图G的弦图扩充问题包含两个问题:图G的最小填充问题和树宽问题,分别表示为f(G)和TW(G);图G的区间图扩充问题也包含两个问题:侧廓问题和路宽问题,分别表示为P(G)和PW(G).对一般图而言,它们都是NP-困难问题.一些特殊图类的填充数、树宽、侧廓问题和路宽具体值已被求出.主要研究树T的线图L(T)的弦图扩充问题;其次涉及到了两类特殊树—毛虫树和直径为4的树的线图的区间图扩充问题.