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On the Computational Complexity of Optimization Convex Covering Problems of Graphs

机译:论图表优化凸起的计算复杂性

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摘要

In this paper we present further studies of convex covers and convex partitions of graphs. Let G be a finite simple graph. A set of vertices S of G is convex if all vertices lying on a shortest path between any pair of vertices of S are in S. If 3 = vertical bar S vertical bar = vertical bar X vertical bar - 1, then S is a nontrivial set. We prove that determining the minimum number of convex sets and the minimum number of nontrivial convex sets, which cover or partition a graph, is in general NP-hard. We also prove that it is NP-hard to determine the maximum number of nontrivial convex sets, which cover or partition a graph.
机译:在本文中,我们进一步研究了图形的凸盖和凸分区。让G成为有限的简单图表。如果位于S的任何一对顶点之间的最短路径上的所有顶点位于S的所有顶点位于S的最短路径上,则G的一组顶点S是凸出的。如果3 <=垂直条垂直条<=垂直条x垂直条 - 1,则是s是一个非目标集。我们证明确定凸起集的最小数量和覆盖或分区图的最小数量的非活动凸集,通常是NP-Hard。我们还证明它是NP - 难以确定最大数量的非活动凸集,覆盖或分隔图形。

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