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This page covers depth-first traversal and depth-first search on a graph.
Also see [[DFS]]
Also see [[DFS]]


=Notes=
=Notes=
A depth first traversal and search algorithm can be used as an algorithmic building block for a large number of problems.
On an undirected graph, DFS can be used to :
* Find the path between two given vertices, or report that none exists
* Test whether a graph is connected
* Compute the spanning tree of a graph (which can, in turn, be used to bootstrap a [[Graphs/Minimum Spanning Tree|minimum spanning tree]])
* Find the connected components of a graph
* Determine whether a graph has any cycles
On a directed graph, DFS can be used to:
* Find a directed path between two given vertices, or report that none exists
* Determine the set of reachable vertices from a source vertex
* Test whether a graph is strongly connected
* Determine whether a graph has any cycles
* Compute the [[Graphs/Transitive Closure|transitive closure]] of a graph


=Resources=
=Resources=

Revision as of 10:17, 5 September 2017

This page covers depth-first traversal and depth-first search on a graph.

Also see DFS

Notes

A depth first traversal and search algorithm can be used as an algorithmic building block for a large number of problems.

On an undirected graph, DFS can be used to :

  • Find the path between two given vertices, or report that none exists
  • Test whether a graph is connected
  • Compute the spanning tree of a graph (which can, in turn, be used to bootstrap a minimum spanning tree)
  • Find the connected components of a graph
  • Determine whether a graph has any cycles

On a directed graph, DFS can be used to:

  • Find a directed path between two given vertices, or report that none exists
  • Determine the set of reachable vertices from a source vertex
  • Test whether a graph is strongly connected
  • Determine whether a graph has any cycles
  • Compute the transitive closure of a graph

Resources

Flags