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 Implement Gift Wrapping Algorithm in Two Dimensions
Command-Line Arguments in Java
Java – Delete a File
Java toString() Method
Encode/Decode to/from Base64
Hướng dẫn Java Design Pattern – Adapter
Java Program to Perform Finite State Automaton based Search
RegEx for matching Date Pattern in Java
Java Program to Implement ConcurrentLinkedQueue API
Encode a String to UTF-8 in Java
Static Content in Spring WebFlux
Java Program to Implement Sorted Doubly Linked List
Java Program to Solve the Fractional Knapsack Problem
Java Program to Implement Bloom Filter
Spring Boot - Flyway Database
Sử dụng CountDownLatch trong Java
Java Program to Implement AA Tree
Hashtable trong java
Java Program to Generate a Graph for a Given Fixed Degree Sequence
Checking for Empty or Blank Strings in Java
Unsatisfied Dependency in Spring
StringBuilder vs StringBuffer in Java
Java Program to Implement Dijkstra’s Algorithm using Set
Getting the Size of an Iterable in Java
Java Program to Implement EnumMap API
Java Program to Implement Doubly Linked List
Java Program to Implement Ternary Heap
Java Program to Perform Searching Based on Locality of Reference
Introduction to Spring Security Expressions
Spring @RequestParam Annotation
Using a Mutex Object in Java
Default Password Encoder in Spring Security 5