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Minimum Fill-in and Treewidth of Split+ke and Split+kv Graphs

机译:Split + ke和Split + kv图的最小填充和树宽

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In this paper we investigate how graph problems that are NP-hard in general, but polynomially solvable on split graphs, behave on input graphs that are close to being split. For this purpose we define split+ke and split+kv graphs to be the graphs that can be made split by removing at most k edges and at most k vertices, respectively. We show that problems like treewidth and minimum fill-in are fixed parameter tractable with parameter k on split+fee graphs. Along with positive results of fixed parameter tractability of several problems on split+ke and split+kv graphs, we also show a surprising hardness result. We prove that computing the minimum fill-in of split+kv graphs is NP-hard even for k = 1. This implies that also minimum fill-in of chordal+kv graphs is NP-hard for every k. In contrast, we show that the treewidth of split+1v graphs can be computed in polynomial time. This gives probably the first graph class for which the treewidth and the minimum fill-in problems have different computational complexity.
机译:在本文中,我们研究了通常是NP难但可在分裂图上多项式解决的图问题在接近分裂的输入图上的表现。为此,我们将split + ke和split + kv图定义为分别通过移除最多k个边和最多k个顶点可以进行拆分的图。我们证明了树宽和最小填充之类的问题是固定参数,可在split + fee图上使用参数k进行处理。除了split + ke和split + kv图上几个问题的固定参数可扩展性的积极结果外,我们还显示了令人惊讶的硬度结果。我们证明即使对于k = 1,计算split + kv图的最小填充也是NP-hard的。这意味着,对于每k个,弦和kv图的最小填充也是NP-hard的。相反,我们表明split + 1v图的树宽可以在多项式时间内计算。这可能给出第一个图类,其树宽和最小填充问题具有不同的计算复杂性。

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