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Near-Optimal Distributed Approximation of Minimum-Weight Connected Dominating Set

机译:最小值近似的近乎最低重连接支配机的近似近似

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This paper~1 presents a near-optimal distributed approximation algorithm for the minimum-weight connected dominating set (MCDS) problem. We use the standard distributed message passing model called the CONGEST model in which in each round each node can send O(log n) bits to each neighbor. The presented algorithm finds an O(log n) approximation in ?(D +√n) rounds, where D is the network diameter and n is the number of nodes. MCDS is a classical NP-hard problem and the achieved approximation factor O(log n) is known to be optimal up to a constant factor, unless P = NP. Furthermore, the ?(D+√n) round complexity is known to be optimal modulo logarithmic factors (for any approximation), following [Das Sarma et al.-STOC'11].
机译:本文〜1介绍了用于最小重量的近似分布式近似算法,用于最小重连接的主导集(MCD)问题。 我们使用标准分布式消息传递模型,称为集比模型,其中每个节点可以向每个邻居发送O(log n)比特。 所提出的算法在α(d +√n)rounds中找到了o(log n)近似,其中d是网络直径,n是节点的数量。 MCD是一种经典的NP难题,并且已知实现的近似因子O(log n)是最佳的,除非p = np。 此外,已知α(d +√n)圆形复杂度是最佳的模数因子(对于任何近似),如下[DAS SARMA等,STOC'11]。

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