Practice Input Size in Graphs - 20.3.7 | 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 are the two common ways to represent a graph?

💡 Hint: Think about how you can organize the vertices and edges.

Question 2

Easy

What does BFS stand for?

💡 Hint: Consider the order in which you explore nodes.

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 data structure is NOT typically used in BFS?

  • Queue
  • Stack
  • Array

💡 Hint: Think about how the nodes are accessed.

Question 2

True or False: An adjacency list is more efficient than an adjacency matrix for sparse graphs.

  • True
  • False

💡 Hint: Consider memory usage.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Construct a graph with 10 vertices and 15 edges. Run BFS from vertex 1. Document each step detailing which vertices are visited and in what order.

💡 Hint: Use a diagram to track your visited nodes and the queue.

Question 2

If a graph represents a social network, explain how BFS could help find the shortest connection path between two people.

💡 Hint: Think about how relationships connect people within the context of the graph.

Challenge and get performance evaluation