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20.5. Shortest Path in Unweighted Graphs
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Mixed questions from across the chapter. Your answers get marked.
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Flashcard drill
5 cards from this lesson. Good the night before a test.
Try these first
- 1.
What does BFS stand for?
Hint
Think of how the algorithm explores a graph.
- 2.
In which context would you use an adjacency list rather than an adjacency matrix?
Hint
Consider storage efficiency.
- 3.
What does BFS stand for?
- Breadth First Search
- Best Fast Search
- Binary First Search
Hint
Think about the search method used.
- 4.
True or False: BFS can be used for weighted graphs to find the shortest path.
- True
- False
Hint
Recall the conditions for BFS applicability.
- 5.
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.
- 6.
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.
Exercises
Total Questions
2
Estimated Time
4 min
Passing Score
70%
Instructions
- Read each question carefully
- You can use hints if you need help
- Complete all questions before submitting
4 more questions available
Enrol freeQuiz
Total Questions
2
Estimated Time
4 min
Passing Score
70%
Instructions
- Read each question carefully
- You can use hints if you need help
- Complete all questions before submitting
3 more questions available
Enrol freeChallenge Problems
Total Questions
2
Estimated Time
4 min
Passing Score
70%
Instructions
- Read each question carefully
- You can use hints if you need help
- Complete all questions before submitting