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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does BFS stand for?
💡 Hint: Remember the first part of the name!
Question 2
Easy
Name one way to represent a graph.
💡 Hint: Think about how we discussed graphs in class.
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the time complexity of BFS using an adjacency list?
- O(n)
- O(n + m)
- O(n²)
💡 Hint: Think about the connections in sparse graphs.
Question 2
True or False: BFS can only find the shortest path in weighted graphs.
- True
- False
💡 Hint: Consider the nature of BFS's exploration.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
You have a graph with 10 vertices and the edges {(1,2), (2,3), (3,4), (4,5), (1,6), (6,7), (6,8), (5,9)}. Describe the BFS traversal starting from vertex 1.
💡 Hint: Keep track of the levels while traversing!
Question 2
Given an example of both an adjacency matrix and list for the edges mentioned above, calculate the time complexity of BFS for both representations.
💡 Hint: Make sure to consider the number of edges and how they relate.
Challenge and get performance evaluation