This is a java program to check whether graph is DAG. In mathematics and computer science, a directed acyclic graph (DAG Listeni/’dæg/), is a directed graph with no directed cycles. That is, it is formed by a collection of vertices and directed edges, each edge connecting one vertex to another, such that there is no way to start at some vertex v and follow a sequence of edges that eventually loops back to v again.
Here is the source code of the Java Program to Check Whether Graph is DAG. The Java program is successfully compiled and run on a Windows system. The program output is also shown below.
package com.maixuanviet.hardgraph;
import java.util.HashMap;
import java.util.Iterator;
import java.util.LinkedList;
import java.util.List;
import java.util.Map;
import java.util.Scanner;
class GraphLinkedList
{
private Map<Integer, List<Integer>> adjacencyList;
public GraphLinkedList(int v)
{
adjacencyList = new HashMap<Integer, List<Integer>>();
for (int i = 1; i <= v; i++)
adjacencyList.put(i, new LinkedList<Integer>());
}
public void setEdge(int from, int to)
{
if (to > adjacencyList.size() || from > adjacencyList.size())
System.out.println("The vertices does not exists");
/*
* List<Integer> sls = adjacencyList.get(to);
* sls.add(from);
*/
List<Integer> dls = adjacencyList.get(from);
dls.add(to);
}
public List<Integer> getEdge(int to)
{
if (to > adjacencyList.size())
{
System.out.println("The vertices does not exists");
return null;
}
return adjacencyList.get(to);
}
public boolean checkDAG()
{
Integer count = 0;
Iterator<Integer> iteratorI = this.adjacencyList.keySet().iterator();
Integer size = this.adjacencyList.size() - 1;
while (iteratorI.hasNext())
{
Integer i = iteratorI.next();
List<Integer> adjList = this.adjacencyList.get(i);
if (count == size)
{
return true;
}
if (adjList.size() == 0)
{
count++;
System.out.println("Target Node - " + i);
Iterator<Integer> iteratorJ = this.adjacencyList.keySet()
.iterator();
while (iteratorJ.hasNext())
{
Integer j = iteratorJ.next();
List<Integer> li = this.adjacencyList.get(j);
if (li.contains(i))
{
li.remove(i);
System.out.println("Deleting edge between target node "
+ i + " - " + j + " ");
}
}
this.adjacencyList.remove(i);
iteratorI = this.adjacencyList.keySet().iterator();
}
}
return false;
}
public void printGraph()
{
System.out.println("The Graph is: ");
for (int i = 1; i <= this.adjacencyList.size(); i++)
{
List<Integer> edgeList = this.getEdge(i);
if (edgeList.size() != 0)
{
System.out.print(i);
for (int j = 0; j < edgeList.size(); j++)
{
System.out.print(" -> " + edgeList.get(j));
}
System.out.println();
}
}
}
}
public class CheckDAG
{
public static void main(String args[])
{
int v, e, count = 1, to, from;
Scanner sc = new Scanner(System.in);
GraphLinkedList glist;
try
{
System.out.println("Enter the number of vertices: ");
v = sc.nextInt();
System.out.println("Enter the number of edges: ");
e = sc.nextInt();
glist = new GraphLinkedList(v);
System.out.println("Enter the edges in the graph : <from> <to>");
while (count <= e)
{
to = sc.nextInt();
from = sc.nextInt();
glist.setEdge(to, from);
count++;
}
glist.printGraph();
System.out
.println("--Processing graph to check whether it is DAG--");
if (glist.checkDAG())
{
System.out
.println("Result: \nGiven graph is DAG (Directed Acyclic Graph).");
}
else
{
System.out
.println("Result: \nGiven graph is not DAG (Directed Acyclic Graph).");
}
}
catch (Exception E)
{
System.out
.println("You are trying to access empty adjacency list of a node.");
}
sc.close();
}
}
Output:
$ javac CheckDAG.java $ java CheckDAG Enter the number of vertices: 6 Enter the number of edges: 7 Enter the edges in the graph : <from> <to> 1 2 2 3 2 4 4 5 4 6 5 6 6 3 The Graph is: 1 -> 2 2 -> 3 -> 4 4 -> 5 -> 6 5 -> 6 6 -> 3 --Processing graph to check whether it is DAG-- Target Node - 3 Deleting edge between target node 3 - 2 Deleting edge between target node 3 - 6 Target Node - 6 Deleting edge between target node 6 - 4 Deleting edge between target node 6 - 5 Target Node - 5 Deleting edge between target node 5 - 4 Target Node - 4 Deleting edge between target node 4 - 2 Target Node - 2 Deleting edge between target node 2 - 1 Result: Given graph is DAG (Directed Acyclic Graph). Enter the number of vertices: 6 Enter the number of edges: 7 Enter the edges in the graph : <from> <to> 1 2 2 3 2 4 4 5 5 6 6 4 6 3 The Graph is: 1 -> 2 2 -> 3 -> 4 4 -> 5 5 -> 6 6 -> 4 -> 3 --Processing graph to check whether it is DAG-- Target Node - 3 Deleting edge between target node 3 - 2 Deleting edge between target node 3 - 6 Result: Given graph is not DAG (Directed Acyclic Graph).
Related posts:
Java Program to Find Whether a Path Exists Between 2 Given Nodes
Một số nguyên tắc, định luật trong lập trình
Spring Boot - Rest Controller Unit Test
Giới thiệu java.io.tmpdir
Đồng bộ hóa các luồng trong Java
Introduction to Netflix Archaius with Spring Cloud
Getting the Size of an Iterable in Java
Java Program to Solve a Matching Problem for a Given Specific Case
Java Program to Check whether Directed Graph is Connected using DFS
Từ khóa throw và throws trong Java
Serialization và Deserialization trong java
Copy a List to Another List in Java
Java Program to Show the Duality Transformation of Line and Point
Optional trong Java 8
How to Set TLS Version in Apache HttpClient
Spring Security Custom AuthenticationFailureHandler
Hamcrest Collections Cookbook
Java Program to Implement Pairing Heap
Java Program to Implement wheel Sieve to Generate Prime Numbers Between Given Range
Java Program to Implement Interval Tree
Java Program to Find the Number of Ways to Write a Number as the Sum of Numbers Smaller than Itself
Java Program to Find kth Smallest Element by the Method of Partitioning the Array
How to Add a Single Element to a Stream
HttpClient Connection Management
Java Program to Construct an Expression Tree for an Prefix Expression
The Dining Philosophers Problem in Java
Java Program to Implement Kosaraju Algorithm
Java Program to Implement HashSet API
Converting a Stack Trace to a String in Java
Apache Commons Collections Bag
Java Program to Find MST (Minimum Spanning Tree) using Kruskal’s Algorithm
Hướng dẫn kết nối cơ sở dữ liệu với Java JDBC