再论q^—图

本文在文[1]的基础上,讨论了没有q-割团、但有(q+1)-割团且q-色唯一的q-图的结构。     

A Characterization of the Optimal p-sum Labellingsof Unit Interval Graphs

1.IntroductionGraphsconsideredinthispaperarefiniteandsimple.FOragraphG,V(G)andE(G)denoteitssetofvenicesandedges,respectively.AbijectionwillbecalledalabellingofG.Letpbeapositiverealnumber.ForagivenlabellingTofagraphG,definethegndiscrepencya.(G,ac)ofTasTheobjectiveoftheminimum-p--sumproblemistofindalabelling7ofagraphGsuchthatac(G,T)isassmallaspossible.ThelabellingTminimizinga.(G,7)iscalledanoptimalHsumlabellingofG.Theminimumvalueiscalledtheminimum-psumofG.ItisshowninI31thattheminimum-…     

关于k—消去图的若干新结果

设G是一个图．k是自然数．图G的一个k-正则支撑子图称为G的一个k-因子．若对于G的每条边e．G—e都存在一个k-因子，则称G是一个k-消去图．该文得到了一个图是k-消去图的若干充分条件，推广了文［2—4］中有关结论．     

图的度序列不等式

用代数的方法证明了有关图度序列的几个不等式，并且得到了其相应的极图。     

关于单圈图的路图的Hamilton性问题

用图的三度顶点的收缩方法，刻画了单圈图的路图的Ｈａｍｉｌｔｏｎ性的特征，并具体给出了Ｈａｍｉｌｔｏｎ圈的构造。     

图G_i~(S*)(P,2(sum form j=1 to n)mj)的伴随多项式因式分解的图论方法及应用

通过研究图的伴随多项式的因式分解 ,给出了证明非色唯一图的一种新方法 ,并且得到了若干图簇的色等价图的结构性质     

障碍可越路线规划的符号图方法

本文给出２—Ｄ路线规划问题在障碍可越情况下的启发式符号方法．这一方法利用推理规则在由图像信息导出的连通图知识结构上进行启发式符号Ａ搜索以对空间关系进行分析和分类，以符号描述形式给出两声间路线规划方案．     

PANCYCLICITY IN LINE GRAPHS

1IntroductionWeuseBondyandMurtyl3]forterminologyand..ta'ti..notdefinedhereandconsidersimpleconnectedgraphsonly.AcircuitCofagraphGisanontrivialconnectedeuleriansubgraphofG.Aspanningcircuit,orbrieflyS-circuit,ofagraphGisacircuitthatcontainsallvenicesofG.AdominatingcircuitorD-circuitofGisacircuitsuchthateveryedgeofGisincidentwithatleastonevertexofthecircuit.AgraphofordernispancyclicifitcontainsallcyclesoflengthIfor3515n.IfCisacircuitofG,thenP(C)denotesthenumberOfedgesofGincidentwithatleas…     

完备图分拆为带一条弦的(2k-1)-长圈

本文给出了构造G-设计的一个统一方法及当v≡1(mod 4k)时的C_(2k-1)~((r))-GD(v)的存在性,其中C_(10)~((r)),1≤r≤k-2表示带一条弦的2k-1长圈,r表示弦两个端点间的顶点个数。     

Bounds on Codes Derived by Counting Components in Varshamov Graphs

We are interested in improving the Varshamov bound for finite values of length n and minimum distance d. We employ a counting lemma to this end which we find particularly useful in relation to Varshamov graphs. Since a Varshamov graph consists of components corresponding to low weight vectors in the cosets of a code it is a useful tool when trying to improve the estimates involved in the Varshamov bound. We consider how the graph can be iteratively constructed and using our observations are able to achieve a reduction in the over-counting which occurs. This tightens the lower bound for any choice of parameters n, k, d or q and is not dependent on information such as the weight distribution of a code. This work is taken from the author’s thesis [10]