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  2. Bellman–Ford algorithm - Wikipedia

    en.wikipedia.org/wiki/BellmanFord_algorithm

    The BellmanFord algorithm is an algorithm that computes shortest paths from a single source vertex to all of the other vertices in a weighted digraph. [1] It is slower than Dijkstra's algorithm for the same problem, but more versatile, as it is capable of handling graphs in which some of the edge weights are negative numbers. [2]

  3. k shortest path routing - Wikipedia

    en.wikipedia.org/wiki/K_shortest_path_routing

    The breadth-first search algorithm is used when the search is only limited to two operations. The Floyd–Warshall algorithm solves all pairs shortest paths. Johnson's algorithm solves all pairs' shortest paths, and may be faster than Floyd–Warshall on sparse graphs. Perturbation theory finds (at worst) the locally shortest path.

  4. 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 BellmanFord algorithm.

  5. 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.

  6. Dynamic programming - Wikipedia

    en.wikipedia.org/wiki/Dynamic_programming

    Hence, one can easily formulate the solution for finding shortest paths in a recursive manner, which is what the BellmanFord algorithm or the Floyd–Warshall algorithm does. Overlapping sub-problems means that the space of sub-problems must be small, that is, any recursive algorithm solving the problem should solve the same sub-problems ...

  7. Path-vector routing protocol - Wikipedia

    en.wikipedia.org/wiki/Path-vector_routing_protocol

    Updates that have looped through the network and returned to the same node are easily detected and discarded. This algorithm is sometimes used in BellmanFord routing algorithms to avoid "Count to Infinity" problems. It is different from the distance vector routing and link state routing. Each entry in the routing table contains the ...

  8. Distance-vector routing protocol - Wikipedia

    en.wikipedia.org/wiki/Distance-vector_routing...

    Distance-vector routing protocols use the BellmanFord algorithm.In these protocols, each router does not possess information about the full network topology.It advertises its distance value (DV) calculated to other routers and receives similar advertisements from other routers unless changes are done in the local network or by neighbours (routers).

  9. Destination-Sequenced Distance Vector routing - Wikipedia

    en.wikipedia.org/wiki/Destination-Sequenced...

    Destination-Sequenced Distance-Vector Routing (DSDV) is a table-driven routing scheme for ad hoc mobile networks based on the BellmanFord algorithm. It was developed by C. Perkins and P. Bhagwat in 1994. The main contribution of the algorithm was to solve the routing loop problem. Each entry in the routing table contains a sequence number ...