graph (version 1.50.0)

DFS: Depth First Search

Description

This function implements algorithm 4.2.1 of Gross and Yellen. The input is a graph and a node to start from. It returns a standard vertex labeling of graph. This is a vector with elements corresponding to the nodes of graph and with values that correspond to point in the depth first search the node is visited.

Usage

DFS(object, node, checkConn=TRUE)

Arguments

object
An instance of the graph class.
node
A character indicating the starting node.
checkConn
A logical indicating whether the connectivity of the graph should be checked.

Value

A vector with names given by the nodes of graph whose values are 0 to one less than the number of nodes. These indices indicate the point at which the node will be visited.

Details

This function implements algorithm 4.2.1 of Gross and Yellen. Specific details are given there.

It requires that the graph be connected. By default, this is checked, but since the checking can be expensive it is optional.

A faster and mostly likely better implementation of depth first searching is given by dfs in the RBGL package.

References

Graph Theory and its Applications, J. Gross and J. Yellen.

See Also

boundary

Examples

Run this code
  RNGkind("Mersenne-Twister")
  set.seed(123)
  g1 <- randomGraph(letters[1:10], 1:4, p=.3)
  RNGkind()
  DFS(g1, "a")

Run the code above in your browser using DataLab