Hope this helps
If you have any doubt feel free to comment
Thank You!!
Question 3 (4 marks) For the directed graph below, list the order in which the nine...
JAVA LAB 1 2 5 7 6 9 3 8 . Write code to implement an adjacency matrix (2d matrix) which represents the graph. Your code should contain a function called addEdgelint i, int j). Use this function to add the appropriate edges in your matrix. Write code to implement Depth-First-Search (DFS) and Breadth-First-Search (BFS) of your graph. Let 0 be the source Node . Traverse the graph using DFS, print the Nodes as they are visited. . Traverse the...
3. Given a directed graph G < V E >, we define its transpose Gr < V.E1 > to be the graph such that ET-{ < v, u >:< u, v >EE). In other words, GT has the same number of edges as in G, but the directions of the edges are reversed. Draw the transpose of the following graph: ta Perform DFS on the original graph G, and write down the start and finish times for each vertex in...
from collections import defaultdict # This class represents a directed graph using # adjacency list representation class Graph: # Constructor def __init__(self): # default dictionary to store graph self.graph = defaultdict(list) # function to add an edge to graph def addEdge(self,u,v): self.graph[u].append(v) # Function to print a BFS of graph def BFS(self, s): # Mark all the vertices as not visited visited = [False] * (len(self.graph)) # Create a queue for BFS queue...
#include <iostream> #include <queue> using namespace std; class Graph { public: Graph(int n); ~Graph(); void addEdge(int src, int tar); void BFTraversal(); void DFTraversal(); void printVertices(); void printEdges(); private: int vertexCount; int edgeCount; bool** adjMat; void BFS(int n, bool marked[]); void DFS(int n, bool marked[]); }; Graph::Graph(int n=0) { vertexCount = n; edgeCount = 0; if(n == 0) adjMat = 0; else { adjMat = new bool* [n]; for(int i=0; i < n; i++) adjMat[i] = new bool [n]; for(int i=0;...
The following is an adjacency matrix of a directed graph. Start from vertex D, write down the order of node visited in Breadth-First- Search (BFS) traversal. (Enter the nodes in order in the following format: [A B C D E F G]) Adjacenc y Matrix ABCDEFG A 1111 000 BO00 0101 C0111010 DO 0 1 0 0 1 1 E 0 1 0 1 000 F 100 1 100 G0000100
Based on the following adjacency list representation of a graph (where there are no weights assigned to the edges), in which order are the elements of this graph accessed during a BFS traversal starting at node A and DFS traversal starting at node E? A: B, C, D B: A, C, D C: A, B, D D: A, B, C, F E: F, G, H F: D, E, G G: E, F, H H: E, G When doing the traversal,...
In Python 3 please Apply Breadth First Search (BFS) to traverse the following graph. Start your traversal from vertex 0, and write down the order in which vertices will be visited during the traversal. 1 8 6 7 2 9 5 4 3
4. A directed graph is given below. Answer the following questions. When there are multiple vertices that can be considered for a certain step, always operate on the vertex with the smallest ASCII value first. Note that with this consideration, each question has a unique answer. 1) What is the traversal result using breadth-first search starting from vertex A? 2) What is the traversal result using depth-first search starting from vertex A? thetopologicasing of this graph? 4
Consider the graph at right. 17 15 [a] In what order are the vertices visited using DFS 319 1 starting from vertex a? Where a choice exists, use alphabetical order. What if you use BFS? [b A vertex x is "finished" when the recursive call DFS (x) terminates. In what order are the vertices finished? (This is different from the order in which they are visited, when DFS (x) is called.) [c] In what order are edges added to the...
Consider the following directed graph, which is given in adjacency list form and where vertexes have numerical labels: 1: 2, 4, 6 2: 4, 5 3: 1, 2, 6, 9 4: 5 5: 4, 7 6: 1, 5, 7 7: 3, 5 8: 2, 6, 7 9: 1, 7 The first line indicates that the graph contains a directed edge from vertex 1 to vertex 2, from 1 to vertex 4, and 1 to 6, and likewise for subsequent lines....