The Hardness and Approximation of the Densest k-Subgraph Problem in Parameterized Metric Graphs
The Hardness and Approximation of the Densest k-Subgraph Problem in Parameterized Metric Graphs
复制标题
参数化度量图中最稠k子图问题的难度和逼近
DOI:
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发表时间:
2020
期刊:
影响因子:
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通讯作者:
R. Klasing
中科院分区:
文献类型:
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作者:
Shi;Li;Ling;Shih;R. Klasing
A complete weighted graph G = (V, E, w) is called Δβ-metric, for some β ≥ 1/2, if G satisfies the β-triangle inequality, i.e., w(u, v) ≤ β • (w(u, x) + w(x, v)) for all vertices u, v, x ∈ V . Given a Δβ-metric graph G = (V, E, w), the Δβ-WEIGHTED DENSEST k-SUBGRAPH (Δβ-WDkS) problem is to find an induced subgraph G[C] with exactly k vertices such that the total edge weight of G[C] is maximized. For β = 1, this problem, Δ-WDkS, is known NP-hard and admits a $frac{1}{2}$-approximation algorithms. In this paper, we show that for any β > 1/2, Δβ-WDkS is NP-hard. We also show how to modify any α-approximation algorithm for Δ-WDkS to obtain a δα,β-approximation algorithm for Δβ-WDkS with δα,β > α for every β < 1. Moreover, we prove that Δβ-WDkS can be approximated to within a factor $frac{1}{{2eta }}$ for any $eta > frac{1}{2}$.
影响因子:
0.5
作者:
Chang, Maw-Shang;Chen, Li-Hsuan;Wu, Guan-Han
通讯作者:
Wu, Guan-Han