Topological Sort of a graph using departure time of vertex

04 Jul, 2022
Given a Directed Acyclic Graph (DAG), find Topological Sort of the graph.
Topological sorting for Directed Acyclic Graph (DAG) is a linear ordering of vertices such that for every directed edge uv, vertex u comes before v in the ordering. Topological Sorting for a graph is not possible if the graph is not a DAG.
For example, a topological sorting of the following graph is “5 4 2 3 1 0”. There can be more than one topological sorting for a graph. For example, another topological sorting of the following graph is “4 5 2 3 1 0”.
Please note that the first vertex in topological sorting is always a vertex with in-degree as 0 (a vertex with no incoming edges). For above graph, vertex 4 and 5 have no incoming edges.
We have already discussed a DFS-based algorithm using stack and Kahn’s Algorithm for Topological Sorting. We have also discussed how to print all topological sorts of the DAG here. In this post, another DFS based approach is discussed for finding Topological sort of a graph by introducing concept of arrival and departure time of a vertex in DFS.
What is Arrival Time & Departure Time of Vertices in DFS? In DFS, Arrival Time is the time at which the vertex was explored for the first time and Departure Time is the time at which we have explored all the neighbors of the vertex and we are ready to backtrack.
How to find Topological Sort of a graph using departure time? To find Topological Sort of a graph, we run DFS starting from all unvisited vertices one by one. For any vertex, before exploring any of its neighbors, we note the arrival time of that vertex and after exploring all the neighbors of the vertex, we note its departure time. Please note only departure time is needed to find Topological Sort of a graph, so we can skip arrival time of vertex. Finally, after we have visited all the vertices of the graph, we print the vertices in order of their decreasing departure time which is our desired Topological Order of Vertices.
Below is C++ implementation of above idea –
C++
Python3
C#
Javascript
// A C++ program to print topological sorting of a DAG#include <bits/stdc++.h>using namespace std; // Graph class represents a directed graph using adjacency// list representationclass Graph {    int V; // No. of vertices    // Pointer to an array containing adjacency lists    list<int>* adj; public:    Graph(int); // Constructor    ~Graph(); // Destructor     // function to add an edge to graph    void addEdge(int, int);     // The function to do DFS traversal    void DFS(int, vector<bool>&, vector<int>&, int&);     // The function to do Topological Sort.    void topologicalSort();}; Graph::Graph(int V){    this->V = V;    this->adj = new list<int>[V];} Graph::~Graph() { delete[] this->adj; } void Graph::addEdge(int v, int w){    adj[v].push_back(w); // Add w to v's list.} // The function to do DFS() and stores departure time// of all vertexvoid Graph::DFS(int v, vector<bool>& visited,                vector<int>& departure, int& time){    visited[v] = true;    // time++;    // arrival time of vertex v     for (int i : adj[v])        if (!visited[i])            DFS(i, visited, departure, time);     // set departure time of vertex v    departure[time++] = v;} // The function to do Topological Sort. It uses DFS().void Graph::topologicalSort(){    // vector to store departure time of vertex.    vector<int> departure(V, -1);     // Mark all the vertices as not visited    vector<bool> visited(V, false);    int time = 0;     // perform DFS on all unvisited vertices    for (int i = 0; i < V; i++) {        if (visited[i] == 0) {            DFS(i, visited, departure, time);        }    }    // print the topological sort    for (int i = V - 1; i >= 0; i--)        cout << departure[i] << " ";} // Driver program to test above functionsint main(){    // Create a graph given in the above diagram    Graph g(6);    g.addEdge(5, 2);    g.addEdge(5, 0);    g.addEdge(4, 0);    g.addEdge(4, 1);    g.addEdge(2, 3);    g.addEdge(3, 1);     cout << "Topological Sort of the given graph is \n";    g.topologicalSort();     return 0;}
# A Python3 program to print topological sorting of a DAGdef addEdge(u, v):    global adj    adj[u].append(v) # The function to do DFS() and stores departure time# of all vertexdef DFS(v):    global visited, departure, time    visited[v] = 1    for i in adj[v]:        if visited[i] == 0:            DFS(i)    departure[time] = v    time += 1 # The function to do Topological Sort. It uses DFS().def topologicalSort():     # perform DFS on all unvisited vertices    for i in range(V):        if(visited[i] == 0):            DFS(i)     # Print vertices in topological order    for i in range(V - 1, -1, -1):        print(departure[i], end = " ") # Driver codeif __name__ == '__main__':       # Create a graph given in the above diagram    V,time, adj, visited, departure = 6, 0, [[] for i in range(7)], [0 for i in range(7)],[-1 for i in range(7)]    addEdge(5, 2)    addEdge(5, 0)    addEdge(4, 0)    addEdge(4, 1)    addEdge(2, 3)    addEdge(3, 1)     print("Topological Sort of the given graph is")    topologicalSort() # This code is contributed by mohit kumar 29
// C# program to print topological sorting of a DAGusing System;using System.Collections.Generic; // Graph class represents a directed graph using adjacency// list representationpublic class Graph {  private int V;  private List<int>[] adj;   // constructor  public Graph(int v)  {    V = v;    adj = new List<int>[ v ];    for (int i = 0; i < v; i++)      adj[i] = new List<int>();  }   // Add an edge  public void AddEdge(int v, int w)  {    adj[v].Add(w); // Add w to v's list  }   // The function to do DFS() and stores departure time  // of all vertex  private void DFS(int v, bool[] visited, int[] departure,                   ref int time)  {    visited[v] = true;    // time++; // arrival time of vertex v     foreach(int i in adj[v])    {      if (!visited[i])        DFS(i, visited, departure, ref time);    }     // set departure time of vertex v    departure[time++] = v;  }   // The function to do Topological Sort. It uses DFS().  public void TopologicalSort()  {    // vector to store departure time of vertex.    int[] departure = new int[V];    for (int i = 0; i < V; i++)      departure[i] = -1;     // Mark all the vertices as not visited    bool[] visited = new bool[V];    int time = 0;     // perform DFS on all unvisited vertices    for (int i = 0; i < V; i++) {      if (visited[i] == false) {        DFS(i, visited, departure, ref time);      }    }    // print the topological sort    for (int i = V - 1; i >= 0; i--)      Console.Write(departure[i] + " ");    Console.WriteLine();  }} class GFG {  // Driver program to test above functions  static void Main(string[] args)  {    // Create a graph given in the above diagram    Graph g = new Graph(6);    g.AddEdge(5, 2);    g.AddEdge(5, 0);    g.AddEdge(4, 0);    g.AddEdge(4, 1);    g.AddEdge(2, 3);    g.AddEdge(3, 1);     Console.WriteLine(      "Topological Sort of the given graph is");    g.TopologicalSort();  }} // This code is contributed by cavi4762
<script> // A JavaScript program to print topological// sorting of a DAG         let adj=new Array(7);    for(let i=0;i<adj.length;i++)    {        adj[i]=[];    }    let V=6;    let time=0;    let visited=new Array(7);    let departure =new Array(7);    for(let i=0;i<7;i++)    {        visited[i]=0;        departure[i]=-1;    }    function addEdge(u, v)    {        adj[u].push(v)    }         // The function to do DFS() and    // stores departure time    // of all vertex    function DFS(v)    {        visited[v] = 1;        for(let i=0;i<adj[v].length;i++)        {            if(visited[adj[v][i]]==0)                DFS(adj[v][i]);        }        departure[time] = v        time += 1    }    // The function to do Topological    // Sort. It uses DFS().    function topologicalSort()    {    //perform DFS on all unvisited vertices        for(let i=0;i<V;i++)        {            if(visited[i] == 0)                DFS(i)        }        //perform DFS on all unvisited vertices        for(let i=V-1;i>=0;i--)        {                       document.write(departure[i]+" ");        }    }         // Create a graph given in the above diagram         addEdge(5, 2);    addEdge(5, 0);    addEdge(4, 0);    addEdge(4, 1);    addEdge(2, 3);    addEdge(3, 1);    document.write(    "Topological Sort of the given graph is<br>"    );    topologicalSort()         // This code is contributed by unknown2108     </script>
Topological Sort of the given graph is 
5 4 2 3 1 0 
Time Complexity of above solution is O(V + E).
This article is contributed by Aditya Goel. If you like GeeksforGeeks and would like to contribute, you can also write an article using write.geeksforgeeks.org or mail your article to review-team@geeksforgeeks.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.
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