Practice Shortest Path In Unweighted Graphs (20.5)

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6 sample questions

Question 1.
What does BFS stand for?
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Think of how the algorithm explores a graph.
Question 2.
In which context would you use an adjacency list rather than an adjacency matrix?
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Consider storage efficiency.
3Question 3.
What does BFS stand for?
- Breadth First Search
- Best Fast Search
- Binary First Search
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Think about the search method used.
4Question 4.
True or False: BFS can be used for weighted graphs to find the shortest path.
- True
- False
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Recall the conditions for BFS applicability.
Question 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.
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Utilize a queue for managing nodes to visit next.
Question 6.
Describe how to modify BFS to also track the distance from the source vertex to each node.
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Think about how BFS layers relate to the coefficient of distance.

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