AI News, Artificial Intelligence/Search/Heuristic search/Depth-first search

Artificial Intelligence/Search/Heuristic search/Depth-first search

Depth-first search is an algorithm used to find information represented in a graphical format.

[The] “theoretical properties of Tremaux’s maze solving method,” however, where not discovered in the field of computer science until 1970 when John Hopcroft and Robert Tarjan collaborated, using depth-first search to “obtain linear time algorithms” (Tarjan, 1972, p.

Beginning with a single node at the top of the graph, the search moves to each subsequent node, vertically, starting with the left-most side of the tree structure until the search reaches the bottom-most node of the tree structure.

Created by Kravitz, David and Lafferty (1997) this pseudocode shows how a depth first search algorithm works by efficiently keeping track of the nodes already visited and the nodes still left to explore.

This block of code allows the search engine to visit every node on the left most tree segment of the tree structure, turning the nodes from white to grey as they are searched one time.

If, during this process, the user decides that a certain grouping of nodes have potential connections to other nodes not presently represented on the tree structure graph, then the user will know that that particular tree segment must “be kept on the external face” of the planar graph (“Planar,” 2008).

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