Graph algorithm
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. Versions of this algorithm have been proposed by , , , , and ; of these, Dijkstra's version was the first to achieve linear time.
Description.
The algorithm performs a depth-first search of the given graph "G", maintaining as it does two stacks "S" and "P" (in addition to the normal call stack for a recursive function).
Stack "S" contains all the vertices that have not yet been assigned to a strongly connected component, in the order in which the depth-first search reaches the vertices.
Stack "P" contains vertices that have not yet been determined to belong to different strongly connected components from each other. It also uses a counter "C" of the number of vertices reached so far, which it uses to compute the preorder numbers of the vertices.
When the depth-first search reaches a vertex "v", the algorithm performs the following steps:
The overall algorithm consists of a loop through the vertices of the graph, calling this recursive search on each vertex that does not yet have a preorder number assigned to it.
Related algorithms.
Like this algorithm, Tarjan's strongly connected components algorithm also uses depth first search together with a stack to keep track of vertices that have not yet been assigned to a component, and moves these vertices into a new component when it finishes expanding the final vertex of its component. However, in place of the stack "P", Tarjan's algorithm uses a vertex-indexed array of preorder numbers, assigned in the order that vertices are first visited in the depth-first search. The preorder array is used to keep track of when to form a new component.
Notes.
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