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On the approximability of some degree-constrained subgraph problems

机译:关于一些度约束子图问题的逼近性

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In this article we provide hardness results and approximation algorithms for the following three natural degree-constrained subgraph problems, which take as input an undirected graph G = (V, E). Let d ≥ 2 be a fixed integer. The Maximum d - degree-bounded Connected Subgraph (MDBCSd) problem takes as additional input a weight function ω: E → R~+, and asks for a subset E' ? E such that the subgraph induced by E' is connected, has maximum degree at most d, and ∑_(e∈E') ω(e) is maximized. The Minimum Subgraph of Minimum Degree ≥ d (MSMDd) problem involves finding a smallest subgraph of G with minimum degree at least d. Finally, the Dual Degree-dense k-Subgraph (DDDkS) problem consists in finding a subgraph H of G such that |V(H)| ≤ k and the minimum degree in H is maximized.
机译:在本文中,我们提供了以下三个自然度约束子图问题的硬度结果和近似算法,这些问题以无向图G =(V,E)作为输入。令d≥2为固定整数。最大d度有界连通子图(MDBCSd)问题将权重函数ω:E→R〜+作为附加输入,并要求子集E'? E,使得由E'诱导的子图被连接,最大度数最大为d,并且∑_(e∈E')ω(e)最大化。最小度≥d的最小子图(MSMDd)问题涉及找到最小度至少为d的G的最小子图。最后,双度密集k子图(DDDkS)问题在于找到G的子图H,使得| V(H)| ≤k,H的最小度数最大。

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