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Fast Approximate Algorithm for the Single Source Shortest Path with Lazy Update

机译:具有延迟更新的单源最短路径的快速近似算法

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In this paper, we propose a fast approximate algorithm of the Dijkstra algorithm which solves the single source shortest path problem(SSSP). In the conventional Dijkstra algorithm, one node with the minimum tentative distance is selected from unvisited nodes, and the tentative distances of its adjacent nodes are relaxed. In this method, its optimality is guaranteed by utilizing the fact that the tentative distance of the selected node will not be updated any more. However, there may be several nodes whose tentative distance will be updated. In this paper, we reduce the computation time by using the Lazy update method which selects all of these nodes and determines their distances simultaneously. Moreover, if the error is allowed, it becomes much faster. By experiments, we confirm that it achieves about 10 times faster.
机译:在本文中,我们提出了Dijkstra算法的快速近似算法,它解决了单源最短路径问题(SSSP)。在传统的Dijkstra算法中,从未访问的节点中选择一个具有最小暂定距离的节点,并放宽其相邻节点的暂定距离。在该方法中,通过利用所选节点的暂定距离将不再更新的事实来保证其最佳性。但是,可能会有几个节点的暂定距离将被更新。在本文中,我们通过使用惰性更新方法来减少计算时间,该方法选择所有这些节点并同时确定它们的距离。而且,如果允许错误,错误将变得更快。通过实验,我们确认它可以达到约10倍的速度。

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