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Inapproximability of Maximum r-Regular Induced Connected Subgraph Problems

机译:最大r-常规诱导的子图问题的不可估量

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Given a graph G = (V,E) on n vertices, the MAXIMUM r-REGULAR INDUCED CONNECTED SUBGRAPH (r-MaxRICS) problems ask for a maximum sized subset of vertices S (is contained in) V such that the induced subgraph G[S] on S is connected and r-regular. For r = 2, it is known that 2-MaxRICS is NP-hard and cannot be approximated within a factor of n~(1 ε) in polynomial time for any ε > 0 if P ≠ NP. In this paper, we show that r-MaxRICS is NP-hard for any fixed integer r ≥ 3, and furthermore r-MaxRICS cannot be approximated within a factor of n~(1/6) ε in polynomial time for any ε > 0 if P ≠ NP.
机译:给定N个顶点的图G =(v,e),最大R-常规诱导的子图(R-MAXRICS)问题询问最大尺寸的顶点S(包含在)V,使得诱导的子图G [ s]在s上连接和r-ralal。对于r = 2,已知2-rAxRICS是NP - 硬质的,如果P≠NP,则在任何ε> 0中的多项式时间内的N〜(1ε)的因子中不能近似。在本文中,我们表明R-MAXRICS对于任何固定整数R≥3,R-MAXRICS是NP - 硬,而且R-MAXRICS不能在任何ε> 0中的多项式时间内的n〜(1/6)ε的因子范围内近似如果p≠np。

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