Practice Bfs Algorithm (20.3) - Breadth First Search (BFS) - Design & Analysis of Algorithms

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6 sample questions

Question 1.
What does BFS stand for?
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Remember the order of exploration!
Question 2.
How is a graph represented using an adjacency list?
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Consider which representation is more efficient for sparse graphs.
3Question 3.
What is the purpose of BFS in graph theory?
- To find the shortest path
- To discover the graph structure
- To visit all vertices
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Think about the graph traversal method.
4Question 4.
True or False: BFS can find paths in weighted graphs.
- True
- False
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Recall how BFS measures distance.
Question 5.
In a graph with 8 vertices and 7 edges, illustrate the BFS traversal starting from vertex 1. What will the queue look like after visiting each vertex?
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Remember to keep track of visited vertices.
Question 6.
Given an unweighted graph, how does BFS compare to Dijkstra’s algorithm in terms of finding paths?
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Think of scenarios where weights alter the shortest path.

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