20.3.2 - Data Structures for BFS
Enroll to start learning
You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.
Practice Questions
Test your understanding with targeted questions
What does an adjacency matrix represent?
💡 Hint: Think about how vertices are arranged in a grid.
What is the role of the visited array in BFS?
💡 Hint: Consider why we don’t want to revisit vertices.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What does BFS stand for?
💡 Hint: Focus on the term 'breadth' when thinking about exploration.
True or False: BFS can be used to find the shortest path in an unweighted graph.
💡 Hint: Consider the meaning of 'shortest path' in this context.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Given a graph represented as an adjacency list, outline how you would implement BFS in Python, including edge cases.
💡 Hint: Think about how to handle special cases like isolated vertices.
Explain how you would modify the BFS algorithm to find the longest path in an unweighted graph.
💡 Hint: Consider the inverse nature of finding longest as opposed to shortest.
Get performance evaluation
Reference links
Supplementary resources to enhance your learning experience.