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  2. Shortest path faster algorithm - Wikipedia

    en.wikipedia.org/wiki/Shortest_Path_Faster_Algorithm

    The Shortest Path Faster Algorithm (SPFA) is an enhanced version of the Bellman–Ford algorithm that computes single-source shortest paths in a weighted directed graph. The algorithm performs optimally on sparse random graphs, particularly those with negative-weight edges. [1] [2] [3] The worst-case complexity of SPFA is equivalent to that of ...

  3. Dijkstra's algorithm - Wikipedia

    en.wikipedia.org/wiki/Dijkstra's_algorithm

    Dijkstra's algorithm ( / ˈdaɪkstrəz / DYKE-strəz) is an algorithm for finding the shortest paths between nodes in a weighted graph, which may represent, for example, road networks. It was conceived by computer scientist Edsger W. Dijkstra in 1956 and published three years later. [4] [5] [6]

  4. Shortest path problem - Wikipedia

    en.wikipedia.org/wiki/Shortest_path_problem

    Shortest path (A, C, E, D, F) between vertices A and F in the weighted directed graph. In graph theory, the shortest path problem is the problem of finding a path between two vertices (or nodes) in a graph such that the sum of the weights of its constituent edges is minimized. The problem of finding the shortest path between two intersections ...

  5. Pathfinding - Wikipedia

    en.wikipedia.org/wiki/Pathfinding

    Equivalent paths between A and B in a 2D environment. Pathfinding or pathing is the search, by a computer application, for the shortest route between two points. It is a more practical variant on solving mazes. This field of research is based heavily on Dijkstra's algorithm for finding the shortest path on a weighted graph .

  6. k shortest path routing - Wikipedia

    en.wikipedia.org/wiki/K_shortest_path_routing

    k shortest path routing. k. shortest path routing. The k shortest path routing problem is a generalization of the shortest path routing problem in a given network. It asks not only about a shortest path but also about next k−1 shortest paths (which may be longer than the shortest path). A variation of the problem is the loopless k shortest paths.

  7. Automotive navigation system - Wikipedia

    en.wikipedia.org/wiki/Automotive_navigation_system

    Mathematically, automotive navigation is based on the shortest path problem, within graph theory, which examines how to identify the path that best meets some criteria (shortest, cheapest, fastest, etc.) between two points in a large network. Automotive navigation systems are crucial for the development of self-driving cars.

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