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  2. Shortest path problem - Wikipedia

    en.wikipedia.org/wiki/Shortest_path_problem

    The all-pairs shortest path problem finds the shortest paths between every pair of vertices v, v' in the graph. The all-pairs shortest paths problem for unweighted directed graphs was introduced by Shimbel (1953), who observed that it could be solved by a linear number of matrix multiplications that takes a total time of O(V 4).

  3. 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 ...

  4. Seidel's algorithm - Wikipedia

    en.wikipedia.org/wiki/Seidel's_algorithm

    Seidel's algorithm is an algorithm designed by Raimund Seidel in 1992 for the all-pairs-shortest-path problem for undirected, unweighted, connected graphs. [1] It solves the problem in (⁡) expected time for a graph with vertices, where < is the exponent in the complexity () of matrix multiplication.

  5. Brandes' algorithm - Wikipedia

    en.wikipedia.org/wiki/Brandes'_algorithm

    where is the total number of shortest paths from node to node , and () is the number of these paths which pass through . For an unweighted graph, the length of a path is considered to be the number of edges it contains.

  6. Geodetic graph - Wikipedia

    en.wikipedia.org/wiki/Geodetic_graph

    In graph theory, a geodetic graph is an undirected graph such that there exists a unique (unweighted) shortest path between each two vertices.. Geodetic graphs were introduced in 1962 by Øystein Ore, who observed that they generalize a property of trees (in which there exists a unique path between each two vertices regardless of distance), and asked for a characterization of them. [1]

  7. Floyd–Warshall algorithm - Wikipedia

    en.wikipedia.org/wiki/Floyd–Warshall_algorithm

    The path [4,2,3] is not considered, because [2,1,3] is the shortest path encountered so far from 2 to 3. At k = 3, paths going through the vertices {1,2,3} are found. Finally, at k = 4, all shortest paths are found. The distance matrix at each iteration of k, with the updated distances in bold, will be:

  8. Induced subgraph - Wikipedia

    en.wikipedia.org/wiki/Induced_subgraph

    The shortest path between any two vertices in an unweighted graph is always an induced path, because any additional edges between pairs of vertices that could cause it to be not induced would also cause it to be not shortest. Conversely, in distance-hereditary graphs, every induced path is a shortest path. [2]

  9. Minimum routing cost spanning tree - Wikipedia

    en.wikipedia.org/wiki/Minimum_routing_cost...

    It is also called the optimum distance spanning tree, shortest total path length spanning tree, minimum total distance spanning tree, or minimum average distance spanning tree. In an unweighted graph, this is the spanning tree of minimum Wiener index. [1] Hu (1974) writes that the problem of constructing these trees was proposed by Francesco ...