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 regular graphs. It begins with an overview of BFS, followed by modifications to the vertex class to support the algorithm. The tutorial then details the BFS implementation, including setting up a queue and visiting vertices. It also introduces a variation of BFS with a specific goal, explaining how to find a path from a goal vertex back to the source. The video concludes with testing the BFS implementations using examples, demonstrating the shortest path results.

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

• To store the color of the vertex

• To determine the degree of the vertex

• To calculate the weight of the vertex

• To track the source of the vertex in the search

Which data structure is used to hold vertices during the breadth-first search?

• Stack

• Queue

• Array

• Linked List

What condition is checked to continue the while loop in the breadth-first search?

• If the distance is not zero

• If the queue is not empty

• If the graph is not empty

• If the vertex is not visited

What does the breadth-first search with a goal return?

• The number of vertices in the path

• The shortest path from the source to the goal

• The longest path from the source to the goal

• All possible paths from the source to the goal

How is the path reconstructed in the breadth-first search with a goal?

• By using the visited attribute

• By using the distance attribute

• By recalculating the path

• By following the parent attributes

What is the source vertex in the first test of the breadth-first search?

• V3

• V1

• V6

• V4

In the second test, which vertex is specified as the goal?

• V3

• V6

• V4

• V1