
We analyze a simple method for finding shortest paths in Euclidean graphs (where vertices are points in a Euclidean space and edge weights are Euclidean distances between points). For many graph models, the average running time of the algorithm to find the shortest path between a specified pair of vertices in a graph with V vertices and E edges is shown to be O(V) as compared with \(O(E+V \log V)\) required by the classical algorithm due to Dijkstra.
analysis of algorithms, Dijkstra's algorithm, Graph theory (including graph drawing) in computer science, Analysis of algorithms and problem complexity, graph algorithm, priority queue
analysis of algorithms, Dijkstra's algorithm, Graph theory (including graph drawing) in computer science, Analysis of algorithms and problem complexity, graph algorithm, priority queue
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