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Construction of Minimum-Weight Spanners

机译:施工最小重量扳手

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Spanners are sparse subgraphs that preserve distances up to a given factor in the underlying graph. Recently spanners have found important practical applications in metric space searching and message distribution in networks. These applications use some variant of the so-called greedy algorithm for constructing the spanner - an algorithm that mimics Kruskal's minimum spanning tree algorithm. Greedy spanners have nice theoretical properties, but their practical performance with respect to total weight is unknown. In this paper we give an exact algorithm for constructing minimum-weight spanners in arbitrary graphs. By using the solutions (and lower bounds) from this algorithm, we experimentally evaluate the performance of the greedy algorithm for a set of realistic problem instances.
机译:扳手是稀疏的子图,其保留距离底层图中给定因子的距离。最近横跨在网络中的公制空间搜索和消息分发中找到了重要的实际应用。这些应用程序使用所谓的贪婪算法的一些变体来构建扳手 - 一种模拟Kruskal最小生成树算法的算法。贪婪的扳手具有良好的理论特性,但它们相对于总重量的实际表现是未知的。在本文中,我们提供了一种精确的算法,用于在任意图中构建最小重量扳手。通过使用来自该算法的解决方案(和下限),我们通过实验评估贪婪算法在一组现实问题实例的性能。

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