On convexity in split graphs: complexity of Steiner tree and domination

IF 0.9 4区 数学 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
A. Mohanapriya, P. Renjith, N. Sadagopan
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引用次数: 0

Abstract

Given a graph G with a terminal set \(R \subseteq V(G)\), the Steiner tree problem (STREE) asks for a set \(S\subseteq V(G) {\setminus } R\) such that the graph induced on \(S\cup R\) is connected. A split graph is a graph which can be partitioned into a clique and an independent set. It is known that STREE is NP-complete on split graphs White et al. (Networks 15(1):109–124, 1985). To strengthen this result, we introduce convex ordering on one of the partitions (clique or independent set), and prove that STREE is polynomial-time solvable for tree-convex split graphs with convexity on clique (K), whereas STREE is NP-complete on tree-convex split graphs with convexity on independent set (I). We further strengthen our NP-complete result by establishing a dichotomy which says that for unary-tree-convex split graphs (path-convex split graphs), STREE is polynomial-time solvable, and NP-complete for binary-tree-convex split graphs (comb-convex split graphs). We also show that STREE is polynomial-time solvable for triad-convex split graphs with convexity on I, and circular-convex split graphs. Further, we show that STREE can be used as a framework for the dominating set problem (DS) on split graphs, and hence the classical complexity (P vs NPC) of STREE and DS is the same for all these subclasses of split graphs. Finally, from the parameterized perspective with solution size being the parameter, we show that the Steiner tree problem on split graphs is W[2]-hard, whereas when the parameter is treewidth, we show that the problem is fixed-parameter tractable, and if the parameter is the solution size and the maximum degree of I (d), then we show that the Steiner tree problem on split graphs has a kernel of size at most \((2d-1)k^{d-1}+k,~k=|S|\).

Abstract Image

论分裂图中的凸性:斯坦纳树和支配的复杂性
给定一个有终端集(R (subseteq V(G))的图 G,斯坦纳树问题(STREE)要求找到一个集合(S (subseteq V(G) {\setminus }),使得在这个集合上诱导出的图(S (scup R (r)))是连通的。S\cup R\) 上的图是连通的。分割图是指可以分割成一个小群和一个独立集的图。众所周知,STREE 在分裂图上是 NP-完全的 White 等(网络 15(1):109-124, 1985)。为了加强这一结果,我们在其中一个分区(clique 或 independent set)上引入了凸排序,并证明对于在 clique (K) 上具有凸性的树凸分裂图,STREE 是多项式时间可解的,而对于在 independent set (I) 上具有凸性的树凸分裂图,STREE 是 NP-完全的。我们通过建立二分法进一步加强了我们的 NP-complete 结果,即对于一元树凸分裂图(路径凸分裂图),STREE 是多项式时间可解的,而对于二元树凸分裂图(梳状凸分裂图),STREE 是 NP-complete 的。我们还证明,对于 I 上具有凸性的三元凸分裂图和圆凸分裂图,STREE 是多项式时间可解的。此外,我们还证明了 STREE 可用作分裂图上的支配集问题 (DS) 的框架,因此 STREE 和 DS 的经典复杂度(P vs NPC)对于所有这些分裂图子类都是相同的。最后,从参数化的角度,以解大小为参数,我们证明了分裂图上的斯坦纳树问题是 W[2]-hard 的,而当参数为树宽(treewidth)时,我们证明了该问题是固定参数可处理的,如果参数为解大小和 I (d) 的最大度,那么我们证明了分裂图上的斯坦纳树问题的内核大小最多为 \((2d-1)k^{d-1}+k,~k=|S||\)。
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来源期刊
Journal of Combinatorial Optimization
Journal of Combinatorial Optimization 数学-计算机:跨学科应用
CiteScore
2.00
自引率
10.00%
发文量
83
审稿时长
6 months
期刊介绍: The objective of Journal of Combinatorial Optimization is to advance and promote the theory and applications of combinatorial optimization, which is an area of research at the intersection of applied mathematics, computer science, and operations research and which overlaps with many other areas such as computation complexity, computational biology, VLSI design, communication networks, and management science. It includes complexity analysis and algorithm design for combinatorial optimization problems, numerical experiments and problem discovery with applications in science and engineering. The Journal of Combinatorial Optimization publishes refereed papers dealing with all theoretical, computational and applied aspects of combinatorial optimization. It also publishes reviews of appropriate books and special issues of journals.
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