Homework Answers
since it is a directed graph, (u,v) means there is an edge from u to v
so we add v in the u's adjacency list.
we do not add u in v's adjacency list as it says there is edge from v to u
so the answer is option d
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When the edge (u,v) is added to a directed graph which of the...
Need help, thanks! In a graph with v vertices and e edges, which of the following...
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In a graph with v vertices and e edges, which of the following maximum sizes is not correct for the shortest path computation? O v for the number of adjacency lists O e for the total size of all adjacency lists O e for the size of the dictionary O v for the size of the queue O all of the above are correct
Hello, I'd like someone to help me create these, thanks! 1. Type Vertex Create and document...
Hello, I'd like someone to help me create these, thanks! 1. Type Vertex Create and document type Vertex. Each vertex v has the following pieces of information. A pointer to a linked list of edges listing all edges that are incident on v. This list is called an adjacency list. A real number indicating v's shortest distance from the start vertex. This number is −1 if the distance is not yet known. A vertex number u. The shortest path from...
Need help, thanks! Which of the following is false Adjacency list representation is preferred over adjacency...
Need help, thanks!
Which of the following is false Adjacency list representation is preferred over adjacency matrix if the graph is sparse. The storage requirement of adjacency matrix is O(N^2) Accessing the weight of a specific link in adjacency list representation can take O(N) time O The weight of a link in adjacency list representation can be changed in 0(1) time. O All of the above are true
Problem 1: Dynamic Programming in DAG Let G(V,E), |V| = n, be a directed acyclic graph...
Problem 1: Dynamic Programming in DAG Let G(V,E), |V| = n, be a directed acyclic graph presented in adjacency list representation, where the vertices are labelled with numbers in the set {1, . . . , n}, and where (i, j) is and edge inplies i < j. Suppose also that each vertex has a positive value vi, 1 ≤ i ≤ n. Define the value of a path as the sum of the values of the vertices belonging to...
Consider an unweighted, undirected graph G = 〈V, E). The neighbourhood of a node u E V in the gr...
This question needs to be done using pseudocode (not any
particular programming language). Thanks
Consider an unweighted, undirected graph G = 〈V, E). The neighbourhood of a node u E V in the graph is the set of all nodes that are adjacent (or directly connected) to v. Subsequently, we can define the neighbourhood degree of the node v as the sum of the degrees of all its neighbours (those nodes that are directly connects to v) (a) Design an...
from collections import defaultdict # This class represents a directed graph using # adjacency list...
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...
Consider an unweighted, undirected graph G = 〈V, E). The neighbourhood of a node u E V in the gr...
Consider an unweighted, undirected graph G = 〈V, E). The neighbourhood of a node u E V in the graph is the set of all nodes that are adjacent (or directly connected) to v. Subsequently, we can define the neighbourhood degree of the node v as the sum of the degrees of all its neighbours (those nodes that are directly connects to v) (a) Design an algorithm that returns a list containing the neighbourhood degree for each node v V,...
Help with Q3 please! 3 (9 pts) For the graph G (VE) in question 2 (above),...
Help with Q3 please!
3 (9 pts) For the graph G (VE) in question 2 (above), construct the adjacency lists for G (using alphabetical ordering) and the corresponding reverse graph GR Adjacency list for G (alphabetical ordering): Adjacency list for G. V = {A, B, C, D, G, H, S) V - {A, B, C, D, G, H, S) E A = { EB = EC) - E[D] = {C,G) E[G] - [ ECH - E[S { EA = {...
Consider the following weighted, directed graph G. There are 7 vertices and 10 edges. The edge list E is as follows:
Consider the following weighted, directed graph G. There are 7 vertices and 10 edges. The edge list E is as follows:The Bellman-Ford algorithm makes |V|-1 = 7-1 = 6 passes through the edge list E. Each pass relaxes the edges in the order they appear in the edge list. As with Dijkstra's algorithm, we record the current best known cost D[V] to reach each vertex V from the start vertex S. Initially D[A]=0 and D[V]=+oo for all the other vertices...
Consider the following directed graph, which is given in adjacency list form and where vertexes have...
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....
Need help, thanks!
In a graph with v vertices and e edges, which of the following maximum sizes is not correct for the shortest path computation? O v for the number of adjacency lists O e for the total size of all adjacency lists O e for the size of the dictionary O v for the size of the queue O all of the above are correct
Need help, thanks!
Which of the following is false Adjacency list representation is preferred over adjacency matrix if the graph is sparse. The storage requirement of adjacency matrix is O(N^2) Accessing the weight of a specific link in adjacency list representation can take O(N) time O The weight of a link in adjacency list representation can be changed in 0(1) time. O All of the above are true
This question needs to be done using pseudocode (not any
particular programming language). Thanks
Consider an unweighted, undirected graph G = 〈V, E). The neighbourhood of a node u E V in the graph is the set of all nodes that are adjacent (or directly connected) to v. Subsequently, we can define the neighbourhood degree of the node v as the sum of the degrees of all its neighbours (those nodes that are directly connects to v) (a) Design an...
Consider an unweighted, undirected graph G = 〈V, E). The neighbourhood of a node u E V in the graph is the set of all nodes that are adjacent (or directly connected) to v. Subsequently, we can define the neighbourhood degree of the node v as the sum of the degrees of all its neighbours (those nodes that are directly connects to v) (a) Design an algorithm that returns a list containing the neighbourhood degree for each node v V,...
Help with Q3 please!
3 (9 pts) For the graph G (VE) in question 2 (above), construct the adjacency lists for G (using alphabetical ordering) and the corresponding reverse graph GR Adjacency list for G (alphabetical ordering): Adjacency list for G. V = {A, B, C, D, G, H, S) V - {A, B, C, D, G, H, S) E A = { EB = EC) - E[D] = {C,G) E[G] - [ ECH - E[S { EA = {...
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....
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