Practice Input Size In Graphs (20.3.7) - Breadth First Search (BFS) - Design & Analysis of Algorithms

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6 sample questions

Question 1.
What are the two common ways to represent a graph?
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Think about how you can organize the vertices and edges.
Question 2.
What does BFS stand for?
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Consider the order in which you explore nodes.
3Question 3.
What data structure is NOT typically used in BFS?
- Queue
- Stack
- Array
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Think about how the nodes are accessed.
4Question 4.
True or False: An adjacency list is more efficient than an adjacency matrix for sparse graphs.
- True
- False
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Consider memory usage.
Question 5.
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.
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Use a diagram to track your visited nodes and the queue.
Question 6.
If a graph represents a social network, explain how BFS could help find the shortest connection path between two people.
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Think about how relationships connect people within the context of the graph.

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