Path-based strong component 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.

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enIn 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.
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enIn 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.
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Path-based strong component algorithm
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enPath-based strong component algorithm
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digital.library.wisc.edu/1793/57514
www.cs.princeton.edu/courses/archive/spr04/cos423/handouts/path%20based...pdf
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Algorithmica
Array (data type)
Category:Graph algorithms
Category:Graph connectivity
Depth-first search
Directed graph
Graph theory
Linear time
Stack (data structure)
Strongly connected component
Tarjan's strongly connected components algorithm
SameAs
4tGuX
m.02w1y2y
Path-based strong component algorithm
Q7144620
Алгоритам за налажење компоненти повезаности
Алгоритм поиска компонент сильной связности с двумя стеками
الگوریتم مؤلفه قوی مبتنی بر مسیر
Subject
Category:Graph algorithms
Category:Graph connectivity
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Path-based strong component algorithm?oldid=1117486237&ns=0
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