Practice Shortest Path in Unweighted Graphs - 20.5 | 20. Breadth First Search (BFS) | Design & Analysis of Algorithms - Vol 1
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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: Think of how the algorithm explores a graph.

Question 2

Easy

In which context would you use an adjacency list rather than an adjacency matrix?

💡 Hint: Consider storage efficiency.

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 does BFS stand for?

  • Breadth First Search
  • Best Fast Search
  • Binary First Search

💡 Hint: Think about the search method used.

Question 2

True or False: BFS can be used for weighted graphs to find the shortest path.

  • True
  • False

💡 Hint: Recall the conditions for BFS applicability.

Solve 3 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given an undirected graph represented as an adjacency list, implement BFS to find all reachable nodes from a starting node and return them in a list.

💡 Hint: Utilize a queue for managing nodes to visit next.

Question 2

Describe how to modify BFS to also track the distance from the source vertex to each node.

💡 Hint: Think about how BFS layers relate to the coefficient of distance.

Challenge and get performance evaluation