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A clique-transversal set D of a graph G is a set of vertices of G such that D meets all cliques of G.The clique-transversal number,denoted by τC(G),is the minimum cardinality of a clique-transversal set in G.In this paper,we first present a lower bound on τC(G) and characterize the extremal graphs achieving the lower bound for a connected(claw,K4)-free 4-regular graph G.Furthermore,we show that for any 2-connected(claw,K4)-free 4-regular graph G of order n,its clique-transversal number equals to [n/3].  相似文献
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A set D of vertices of a graph G = (V, E) is called a dominating set if every vertex of V not in D is adjacent to a vertex of D. In 1996, Reed proved that every graph of order n with minimum degree at least 3 has a dominating set of cardinality at most 3n/8. In this paper we generalize Reed's result. We show that every graph G of order n with minimum degree at least 2 has a dominating set of cardinality at most (3n +IV21)/8, where V2 denotes the set of vertices of degree 2 in G. As an application of the above result, we show that for k ≥ 1, the k-restricted domination number rk (G, γ) ≤ (3n+5k)/8 for all graphs of order n with minimum degree at least 3.  相似文献
3.
A clique-transversal set D of a graph G is a set of vertices of G such that D meets all cliques of G. The clique-transversal number, denoted by τ c (G), is the minimum cardinality of a clique-transversal set in G. In this paper we give the exact value of the clique-transversal number for the line graph of a complete graph. Also, we give a lower bound on the clique-transversal number for 4-regular claw-free graphs and characterize the extremal graphs achieving the lower bound.  相似文献
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图G=(V,E)的一个混合控制集是一个满足如下条件的集合DV∪E:不在D中的每个点或每条边都相邻或关联于D中的至少一个点或一条边.确定图的最小基数的混合控制集的问题称为混合控制问题.本文研究混合控制问题的算法复杂性,证明了混合控制问题在无向路图上是NP-完全的,但在块图上有线性时间算法.无向路图和块图都是弦图的子类,又是树的母类.  相似文献
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In this note we study the general facility location problem with connectivity. We present an O(np 2)-time algorithm for the general facility location problem with connectivity on trees. Furthermore, we present an O(np)-time algorithm for the general facility location problem with connectivity on equivalent binary trees.  相似文献
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A set D of vertices in a graph G = (V, E) is a locating-dominating set (LDS) if for every two vertices u, v of V / D the sets N(u) ∩D and N(v) ∩ D are non-empty and different. The locating-domination number γL(G) is the minimum cardinality of an LDS of G, and the upper-locating domination number FL(G) is the maximum cardinality of a minimal LDS of G. In the present paper, methods for determining the exact values of the upper locating-domination numbers of cycles are provided.  相似文献
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