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Dijkstras algorithm - Wikipedia Dijkstra's algorithm ( ˈdaɪkstrəz 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 [4][5][6] Dijkstra's algorithm finds the shortest path from a given source node to every other node [7]: 196
Parallel single-source shortest path algorithm - Wikipedia 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 There are classical sequential algorithms which solve this problem, such as Dijkstra's algorithm In
Parallel all-pairs shortest path algorithm - Wikipedia 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:
Path-based strong component algorithm - Wikipedia In graph theory, the strongly connected components of a directed graph may be found using an algorithm that uses depth-first search in combination with two stacks, one to keep track of the vertices in the current component and the second to keep track of the current search path [1] Versions of this algorithm have been proposed by Purdom (1970), Munro (1971), Dijkstra (1976), Cheriyan
Pathfinding - Wikipedia Equivalent paths between A and B in a 2D environment Pathfinding or pathing is the search, by a computer application, for the shortest route between two points It is a more practical variant on solving mazes This field of research is based heavily on Dijkstra's algorithm for finding the shortest path on a weighted graph Pathfinding is closely related to the shortest path problem, within
Dijkstra–Scholten algorithm - Wikipedia 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-structured is not uncommon Such a process graph may arise
Dutch national flag problem - Wikipedia The following pseudocode for three-way partitioning which assumes zero-based array indexing was proposed by Dijkstra himself [2] It uses three indices i, j and k, maintaining the invariant that i ≤ j ≤ k
Category:Articles with example pseudocode - Wikipedia D Data parallelism Datafly algorithm Dekker's algorithm Depth-first search Determining the number of clusters in a data set DFA minimization Dijkstra's algorithm Disjoint-set data structure Dispersive flies optimisation Division algorithm DPLL algorithm Duck typing Dutch national flag problem Dynamic array Dynamic time warping
Bidirectional search - Wikipedia Bidirectional search Bidirectional search is a graph search algorithm that finds a shortest path from an initial vertex to a goal vertex in a directed graph It runs two simultaneous searches: one forward from the initial state, and one backward from the goal, stopping when the two meet