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On the Complexity of Solving or Approximating Convex Recoloring Problems

机译:关于解决或逼近凸色问题的复杂性

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Given a graph with an arbitrary vertex coloring, the Convex Recoloring Problem (CR) consists of recoloring the minimum number of vertices so that each color induces a connected subgraph. We focus on the complexity and inapproximabiliy of this problem on k-colored graphs, for fixed k≥2. We prove a very strong complexity result showing that CR is already NP-hard on k-colored grids, and therefore also on planar graphs with maximum degree 4. For each k≥2, we also prove that, for a positive constant c, there is no c ln n-approximation algorithm even for k-colored n-vertex bipartite graphs, unless P = NP. For 2-colored (q, q-4)-graphs, a class that includes cographs and P4-sparse graphs, we present polynomial-time algorithms for fixed q. The same complexity results are obtained for a relaxation of CR, where only one fixed color is required to induce a connected subgraph.
机译:给定具有任意顶点着色的图形,凸重着色问题(CR)包括对最小数量的顶点进行重着色,以便每种颜色都可以诱发一个相连的子图。对于固定k≥2,我们着重于k色图上该问题的复杂性和不逼近性。我们证明了非常强的复杂性结果,表明CR在k色网格上已经是NP-hard了,因此在最大度数为4的平面图上也是如此。对于每个k≥2,我们还证明对于正常数c,存在除非P = NP,否则即使对于k色n顶点二分图也不是c ln n逼近算法。对于2色(q,q-4)图,这是一个包含cograph和P4稀疏图的类,我们提出了固定q的多项式时间算法。对于放宽CR,可以获得相同的复杂度结果,其中只需要一种固定的颜色即可诱发连接的子图。

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