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  2. Dijkstra's algorithm - Wikipedia

    en.wikipedia.org/wiki/Dijkstra's_algorithm

    Dijkstra's algorithm finds the shortest path from a given source node to every other node. [7]: 196–206 It can be used to find the shortest path to a specific destination node, by terminating the algorithm after determining the shortest path to the destination node. For example, if the nodes of the graph represent cities, and the costs of ...

  3. Parallel all-pairs shortest path algorithm - Wikipedia

    en.wikipedia.org/wiki/Parallel_all-pairs...

    The Dijkstra algorithm originally was proposed as a solver for the single-source-shortest-paths problem. However, the algorithm can easily be used for solving the All-Pair-Shortest-Paths problem by executing the Single-Source variant with each node in the role of the root node. In pseudocode such an implementation could look as follows:

  4. Shortest path problem - Wikipedia

    en.wikipedia.org/wiki/Shortest_path_problem

    Find the Shortest Path: 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. k shortest path routing - Wikipedia

    en.wikipedia.org/wiki/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.

  6. Dijkstra–Scholten algorithm - Wikipedia

    en.wikipedia.org/wiki/Dijkstra–Scholten_algorithm

    The Dijkstra–Scholten algorithm (named after Edsger W. Dijkstra and Carel S. Scholten) is an algorithm for detecting termination in a distributed system. [1] [2] The algorithm was proposed by Dijkstra and Scholten in 1980. [3] First, consider the case of a simple process graph which is a tree. A distributed computation which is tree ...

  7. Parallel single-source shortest path algorithm - Wikipedia

    en.wikipedia.org/wiki/Parallel_single-source...

    A central problem in algorithmic graph theory is the shortest path problem.One of the generalizations of the shortest path problem is known as the single-source-shortest-paths (SSSP) problem, which consists of finding the shortest paths from a source vertex to all other vertices in the graph.

  8. Edsger W. Dijkstra - Wikipedia

    en.wikipedia.org/wiki/Edsger_W._Dijkstra

    [25] His advice to a promising researcher, who asked how to select a topic for research, was the phrase: "Do only what only you can do". [6] Dijkstra was also known for his vocal criticism and absence of social skills when interacting with colleagues. As an outspoken and critical visionary, he strongly opposed the teaching of BASIC. [26]

  9. Contraction hierarchies - Wikipedia

    en.wikipedia.org/wiki/Contraction_hierarchies

    The shortest path in a graph can be computed using Dijkstra's algorithm but, given that road networks consist of tens of millions of vertices, this is impractical. [1] Contraction hierarchies is a speed-up method optimized to exploit properties of graphs representing road networks. [2] The speed-up is achieved by creating shortcuts in a ...