java code will need to return the traversal of the nodes in DFS order, where the traversal starts from Node/Vertex 0. When you follow the traversal process as specified - the complexity of the solution will be linear as shown below. Time Complexity: O(V + E), where V is the number of Vertices and E is the number of Edges respectively. Space Complexity: O(V ) The linear space complexity would come from the recursion (AKA ”recursion stack”) you employ to traverse the Graph.
java code will need to return the traversal of the nodes in DFS order, where the traversal starts from Node/Vertex 0. When you follow the traversal process as specified - the complexity of the solution will be linear as shown below. Time Complexity: O(V + E), where V is the number of Vertices and E is the number of Edges respectively. Space Complexity: O(V ) The linear space complexity would come from the recursion (AKA ”recursion stack”) you employ to traverse the Graph.
Computer Networking: A Top-Down Approach (7th Edition)
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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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java
code will need to return the traversal of the nodes in DFS order, where
the traversal starts from Node/Vertex 0.
When you follow the traversal process as specified - the complexity of the solution will be linear as shown below.
Time Complexity: O(V + E), where V is the number of Vertices and
E is the number of Edges respectively.
Space Complexity: O(V )
The linear space complexity would come from the recursion (AKA ”recursion
stack”) you employ to traverse the Graph.
![/* 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
2
void addEdge (int v, int w)
adj [v].add(w); // Add w to the list of v.
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);](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fc353cc0f-0c4d-4d5b-a3e6-e746dbb90f94%2Fb4d3c3fe-d0ac-4b6c-aac8-203163b0376e%2F7yc5kx5_processed.png&w=3840&q=75)
Transcribed Image Text:/* 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
2
void addEdge (int v, int w)
adj [v].add(w); // Add w to the list of v.
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);
![[1] With Recursion.
1
[2] Iteratively by using an explicit Stack.
3
2
4
Figure 1: Graph for Traversal](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fc353cc0f-0c4d-4d5b-a3e6-e746dbb90f94%2Fb4d3c3fe-d0ac-4b6c-aac8-203163b0376e%2Fzakwtii_processed.png&w=3840&q=75)
Transcribed Image Text:[1] With Recursion.
1
[2] Iteratively by using an explicit Stack.
3
2
4
Figure 1: Graph for Traversal
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