Theoretical Computer Science ( IF 0.9 ) Pub Date : 2020-10-26 , DOI: 10.1016/j.tcs.2020.10.027 B.S. Panda , Pooja Goyal
A subset of a graph is called a global total k-dominating set of G if D is a total k-dominating set of both G and the complement of G. The Minimum Global Total k-Domination problem is to find a global total k-dominating set of minimum cardinality of the input graph G and Decide Global Total k-Domination problem is the decision version of Minimum Global Total k-Domination problem. The Decide Global Total k-Domination problem is known to be NP-complete for general graphs as well as for bipartite graphs. In this paper, we strengthen the NP-completeness result of Decide Global Total k-Domination problem by showing that this problem remains NP-complete for perfect elimination bipartite graphs, star-convex bipartite graphs and doubly chordal graphs. On the positive side, we give a polynomial time algorithm for the Minimum Global Total k-Domination problem for chordal bipartite graphs, which is a subclass of bipartite graphs. We propose a -approximation algorithm for the Minimum Global Total k-Domination problem for any graph. We show that Minimum Global Total k-Domination problem cannot be approximated within for any unless for any integer . We further show that for bipartite graphs, Minimum Global Total k-Domination problem cannot be approximated within for any unless for any . Finally, we show that the Minimum Global Total k-Domination problem is APX-complete for bounded degree bipartite graphs for any fixed integer .
中文翻译:
全局总k占优:逼近度和硬度结果
一个子集 图的 如果D是G和补码的总k占优集,则称为G的全局总k占优集的ģ。在最小全球总 ķ -Domination问题是要找到一个全球性的总ķ -dominating组输入图形的最小基数的摹和决定全球总 ķ -Domination问题的判定型最低全球总 ķ -Domination问题。对于一般图以及二部图,“决定全局总 k-控制”问题都是NP-完全问题。在本文中,我们加强了决定全局总k-支配的NP-完备性结果 通过证明该问题仍然是NP-完全消除二分图,星形-凸二分图和双弦和弦图的问题。在积极方面,我们为弦二部图的最小全局总 k控制问题给出了多项式时间算法,该问题是二部图的子类。我们建议最小全局总 k的-近似算法-任何图的控制问题。我们表明最小全局总 k-支配问题不能在以下范围内近似 对于任何 除非 对于任何整数 。我们进一步表明,对于二部图,最小全局总 k-支配问题不能在以下范围内近似 对于任何 除非 对于任何 。最后,我们证明了最低的全球总 ķ -Domination问题是APX -完成了有限度的二分图的任何固定的整数。