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

机译:具有Lazy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,我们提出了一种快速近似算法的Dijkstra算法,其解决了单一源最短路径问题(SSSP)。在传统的DIJKSTRA算法中,从未出现的节点中选择一个具有最小临时距离的一个节点,并且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不再更新的事实,保证其最优性。但是,可能存在若干节点,其暂定距离将更新。在本文中,我们通过使用选择所有节点的延迟更新方法来减少计算时间,并同时确定它们的距离。而且,如果允许错误,则变得更快。通过实验,我们确认它更快地实现了大约10倍。

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