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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.
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. Finding k shortest paths is possible by extending Dijkstra's algorithm or the Bellman-Ford algorithm. [citation needed]
Edge disjoint shortest pair algorithm is an algorithm in computer network routing. [1] The algorithm is used for generating the shortest pair of edge disjoint paths between a given pair of vertices. For an undirected graph G(V, E), it is stated as follows: Run the shortest path algorithm for the given pair of vertices
Path (graph theory) Seven Bridges of Königsberg. Eulerian path; Three-cottage problem; Shortest path problem. Dijkstra's algorithm. Open Shortest Path First; Flooding algorithm; Route inspection problem; Hamiltonian path. Hamiltonian path problem; Knight's tour; Traveling salesman problem. Nearest neighbour algorithm; Bottleneck traveling ...
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:
Print/export Download as PDF; Printable version; ... Edge disjoint shortest pair algorithm; Equal-cost multi-path routing; Expected transmission count; F.
Construct the shortest-path tree using the edges between each node and its parent. The above algorithm guarantees the existence of shortest-path trees. Like minimum spanning trees, shortest-path trees in general are not unique. In graphs for which all edge weights are equal, shortest path trees coincide with breadth-first search trees. In ...
The diameter of a graph can be computed by using a shortest path algorithm to compute shortest paths between all pairs of vertices, and then taking the maximum of the distances that it computes. For instance, in a graph with positive edge weights, this can be done by repeatedly using Dijkstra's algorithm , once for each possible starting vertex.