Keyword | CPC | PCC | Volume | Score | Length of keyword |
---|---|---|---|---|---|

graph geeksforgeeks dfs | 0.63 | 0.4 | 2999 | 20 | 23 |

graph | 0.49 | 0.8 | 9208 | 67 | 5 |

geeksforgeeks | 1.37 | 0.5 | 6278 | 49 | 13 |

dfs | 1.9 | 0.7 | 447 | 47 | 3 |

Keyword | CPC | PCC | Volume | Score |
---|---|---|---|---|

graph geeksforgeeks dfs | 1.62 | 0.5 | 7479 | 69 |

Depth First Search or DFS for a Graph. If we don’t mark visited vertices, then 2 will be processed again and it will become a non-terminating process. A Depth First Traversal of the following graph is 2, 0, 1, 3. See this post for all applications of Depth First Traversal. Following are implementations of simple Depth First Traversal.

Your task is to complete the function dfsOfGraph () which takes the integer V denoting the number of vertices and adjacency list as input parameters and returns a list containing the DFS traversal of the graph starting from the 0th vertex from left to right according to the graph.

// A graph is an array of adjacency lists. // Add an edge from src to dest. Time complexity of above solution is O (V + E) as it does simple DFS for given graph. This can be solved using Disjoint Set Union with a time complexity of O (N).

To do complete DFS traversal of such graphs, we must call DFSUtil () for every vertex. Also, before calling DFSUtil (), we should check if it is already printed by some other call of DFSUtil (). Following implementation does the complete graph traversal even if the nodes are unreachable.