20.3 - BFS Algorithm
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Practice Questions
Test your understanding with targeted questions
What does BFS stand for?
💡 Hint: Remember the order of exploration!
How is a graph represented using an adjacency list?
💡 Hint: Consider which representation is more efficient for sparse graphs.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is the purpose of BFS in graph theory?
💡 Hint: Think about the graph traversal method.
True or False: BFS can find paths in weighted graphs.
💡 Hint: Recall how BFS measures distance.
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Challenge Problems
Push your limits with advanced challenges
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?
💡 Hint: Remember to keep track of visited vertices.
Given an unweighted graph, how does BFS compare to Dijkstra’s algorithm in terms of finding paths?
💡 Hint: Think of scenarios where weights alter the shortest path.
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