Compare the breadth-first and depth-first search algorithms : Implementing BFS on Regular Graphs

The video tutorial covers the implementation of the breadth first search (BFS) algorithm on graphs. It begins with an introduction to BFS, followed by modifications to the vertex class to include properties like parent, visited, and distance. The BFS algorithm is implemented to traverse the graph, updating these properties. A variation of BFS with a goal vertex is also introduced, which returns the path from the goal back to the source. The tutorial concludes with testing the BFS and BFS with goal on a sample graph, demonstrating the shortest path finding capability of the algorithm.

What is the primary purpose of adding a 'parent' attribute to the vertex class in BFS?

• To determine the degree of the vertex

• To calculate the weight of the vertex

• To track the source of the vertex in the search

• To store the color of the vertex

In the BFS algorithm, what is the initial value set for the 'visited' attribute of each vertex?

• False

• Null

• True

• Zero

What data structure is primarily used to manage the vertices during the BFS traversal?

• Stack

• Linked List

• Queue

• Array

What does the BFS with a goal function return when the source vertex is the same as the goal vertex?

• An empty list

• The entire graph

• The source vertex

• Null

How does the BFS with a goal function determine the path from the goal vertex back to the source vertex?

• By following the parent attributes

• By using a depth-first search

• By using a stack to reverse the path

• By calculating the shortest distance

In the testing phase, what is the source vertex used for the general BFS test?

• V1

• V4

• V6

• V3

What is the shortest path found from V3 to V6 in the BFS with a goal test?

• V3, V4, V6

• V3, V5, V6

• V3, V1, V7, V6

• V3, V2, V6