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Computational Complexity Relationship between Compaction, Vertex-Compaction, and Retraction

机译:压缩,顶点压缩和收缩之间的计算复杂性关系

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In this paper, we show a very close relationship between the compaction, vertex-compaction, and retraction problems for reflexive and bipartite graphs. The relationships that we present relate to a long-standing open problem concerning whether any pair of these problems are polynomially equivalent for every graph. The relationships we present also relate to the constraint satisfaction problem, providing evidence that similar to the compaction and retraction problems, it is also likely to be difficult to give a complete computational complexity classification of the vertex-compaction problem for every reflexive or bipartite graph. In this paper, we however give a complete computational complexity classification of the vertex-compaction problem for all graphs, including even partially reflexive graphs, with four or fewer vertices, by giving proofs based on mostly just knowing the computational complexity classification results of the compaction problem for such graphs determined earlier by the author. Our results show that the compaction, vertex-compaction, and retraction problems are polynomially equivalent for every graph with four or fewer vertices.
机译:在本文中,我们在反射和二分钟的压实,顶点压实和缩回问题之间显示了非常紧密的关系。我们所呈现的关系涉及关于任何对这些问题是否是多项相当于每个图的长期开放问题。我们所呈现的关系也涉及约束满足问题,提供类似于压实和收缩问题的证据,也很可能难以为每种反射或二分图提供顶点压实问题的完整计算复杂性分类。在本文中,我们为所有图表提供了完整的计算复杂性分类,包括所有图形的顶点压缩问题,包括甚至部分反射图,其中包含四个或更少的顶点,通过提供基于主要了解压实的计算复杂性分类结果由作者早先确定的图表的问题。我们的结果表明,对具有四个或更少顶点的每个图形,压实,顶点压实和收缩问题是多项值等效的。

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