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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is an adjacency list?
💡 Hint: Think about how you can list the neighbors of a vertex.
Question 2
Easy
What does a minimum spanning tree do?
💡 Hint: Consider why this would be useful in networking.
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the time complexity of Dijkstra's algorithm using a priority queue?
- O(V^2)
- O(E + V log V)
- O(E log V)
💡 Hint: Remember that E is for edges and V is for vertices.
Question 2
Kruskal’s algorithm can work with graphs that have negative weight edges.
- True
- False
💡 Hint: Consider how the algorithm functions.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given a graph with 6 vertices and 7 weighted edges, implement Dijkstra’s algorithm in code, and analyze the results.
💡 Hint: Look carefully at how edges are added and distances updated.
Question 2
Design a randomized graph with varying edge weights and demonstrate the behavior of both Prim’s and Kruskal's algorithms on it. Compare their output.
💡 Hint: Reflect on the edges added and cycles formed.
Challenge and get performance evaluation