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  2. Dijkstra's algorithm - Wikipedia

    en.wikipedia.org/wiki/Dijkstra's_algorithm

    Dijkstra's algorithm (/ ˈ d aɪ k s t r ə z / DYKE-strəz) is an algorithm for finding the shortest paths between nodes in a weighted graph, which may represent, for example, a road network. It was conceived by computer scientist Edsger W. Dijkstra in 1956 and published three years later.

  3. Shortest-path tree - Wikipedia

    en.wikipedia.org/wiki/Shortest-path_tree

    In connected graphs where shortest paths are well-defined (i.e. where there are no negative-length cycles), we may construct a shortest-path tree using the following algorithm: Compute dist(u), the shortest-path distance from root v to vertex u in G using Dijkstra's algorithm or Bellman–Ford algorithm.

  4. Shortest path problem - Wikipedia

    en.wikipedia.org/wiki/Shortest_path_problem

    Use a shortest path algorithm (e.g., Dijkstra's algorithm, Bellman-Ford algorithm) to find the shortest path from the source node to the sink node in the residual graph. Augment the Flow: Find the minimum capacity along the shortest path. Increase the flow on the edges of the shortest path by this minimum capacity.

  5. Link-state routing protocol - Wikipedia

    en.wikipedia.org/wiki/Link-state_routing_protocol

    The second main stage in the link-state algorithm is to produce routing tables by inspecting the maps. Each node independently runs an algorithm over the map to determine the shortest path from itself to every other node in the network; generally, some variant of Dijkstra's algorithm is used.

  6. Pathfinding - Wikipedia

    en.wikipedia.org/wiki/Pathfinding

    A* uses this heuristic to improve on the behavior relative to Dijkstra's algorithm. When the heuristic evaluates to zero, A* is equivalent to Dijkstra's algorithm. As the heuristic estimate increases and gets closer to the true distance, A* continues to find optimal paths, but runs faster (by virtue of examining fewer nodes).

  7. Dynamic programming - Wikipedia

    en.wikipedia.org/wiki/Dynamic_programming

    From a dynamic programming point of view, Dijkstra's algorithm for the shortest path problem is a successive approximation scheme that solves the dynamic programming functional equation for the shortest path problem by the Reaching method. [8] [9] [10] In fact, Dijkstra's explanation of the logic behind the algorithm, [11] namely Problem 2.

  8. Edsger W. Dijkstra - Wikipedia

    en.wikipedia.org/wiki/Edsger_W._Dijkstra

    Edsger Wybe Dijkstra (/ ˈ d aɪ k s t r ə / DYKE-strə; Dutch: [ˈɛtsxər ˈʋibə ˈdɛikstraː] ⓘ; 11 May 1930 – 6 August 2002) was a Dutch computer scientist, programmer, software engineer, mathematician, and science essayist.

  9. Transport network analysis - Wikipedia

    en.wikipedia.org/wiki/Transport_network_analysis

    A common example is finding directions in a street network, a feature of almost any web street mapping application such as Google Maps. The most popular method of solving this task, implemented in most GIS and mapping software, is Dijkstra's algorithm. [10] In addition to the basic point-to-point routing, composite routing problems are also common.