JavaPleasse add Comments and Test-Cases to code.explore a specific way to perform a Breadth First Search (BFS) of a given Graph [ Figure 1]. 245Figure 1: Graph for Traversal/* Class representing a directed graph using adjacency lists */static class Graphint V; //Number of VerticesLinkedList [] adj; // adjacency lists//ConstructorGraph (int V){this.V = V;adj - new LinkedList [V];for (int i = 0; i < adj.length; i++)adj [i] = new LinkedList();//To add an edge to graphvoid addEdge (int v, int w){adj [v].add (w); // Add w to the list of v.2 The edges of the Graph is given to you.g. addEdge (0, 1);g. addEdge (0, 2);g. addEdge (2, 3);g. addEdge (2, 4);g. addEdge (4, 5);g. addEdge (1, 3);g. addEdge (3, 5);Your code will need to return the traversal of the nodes in BFS order, wherethe traversal starts from Node/Vertex 0.When you follow the traversal process as specified - the complexity of the solu-tion will be linear as shown below.Time Complexity: 0(V + E), where V is the number of Vertices andE is the number of Edges respectively.Space Complexity: 0(V)The linear space complexity would come from the specific data structure youemploy to traverse the Graph using BFS.

Step 1: Define the method BFS() that takes the source vertex as parameter. Step 2: Initialize…

/* Class representing a directed graph using adjacency lists +/ static class Graph { int V; //Number of Vertices LinkedList [] adj; // adjacency lists //Constructor Graph(int V) this.V = V; adj = new LinkedList (V]; for (int i = 0; i < adj.length; i++) adj[i] = new LinkedList(); //To add an edge to graph void addEdge (int v, int w) { adj [v].add (w); // Add w to the list of v.

/* Class representing a directed graph using adjacency lists +/ static class Graph { int V; //Number of Vertices LinkedList [] adj; // adjacency lists //Constructor Graph(int V) this.V = V; adj = new LinkedList (V]; for (int i = 0; i < adj.length; i++) adj[i] = new LinkedList(); //To add an edge to graph void addEdge (int v, int w) { adj [v].add (w); // Add w to the list of v.

Computer Networking: A Top-Down Approach (7th Edition)

7th Edition

ISBN:9780133594140

Author:James Kurose, Keith Ross

Publisher:James Kurose, Keith Ross

Chapter1: Computer Networks And The Internet

Section: Chapter Questions

Problem R1RQ: What is the difference between a host and an end system? List several different types of end...

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Question

Java

Pleasse add Comments and Test-Cases to code.

explore a specific way to perform a Breadth First Search (BFS) of a given Graph [ Figure 1].

2
4
5
Figure 1: Graph for Traversal
/* Class representing a directed graph using adjacency lists */
static class Graph
int V; //Number of Vertices
LinkedList<Integer> [] adj; // adjacency lists
//Constructor
Graph (int V)
{
this.V = V;
adj - new LinkedList [V];
for (int i = 0; i < adj.length; i++)
adj [i] = new LinkedList<Integer>();
//To add an edge to graph
void addEdge (int v, int w)
{
adj [v].add (w); // Add w to the list of v.
2

The edges of the Graph is given to you.
g. addEdge (0, 1);
g. addEdge (0, 2);
g. addEdge (2, 3);
g. addEdge (2, 4);
g. addEdge (4, 5);
g. addEdge (1, 3);
g. addEdge (3, 5);
Your code will need to return the traversal of the nodes in BFS order, where
the traversal starts from Node/Vertex 0.
When you follow the traversal process as specified - the complexity of the solu-
tion will be linear as shown below.
Time Complexity: 0(V + E), where V is the number of Vertices and
E is the number of Edges respectively.
Space Complexity: 0(V)
The linear space complexity would come from the specific data structure you
employ to traverse the Graph using BFS.

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