Practice Time Complexity of Dijkstra's Algorithm - 11.3.1 | 11. Heaps and Dijkstra's Algorithm | Design & Analysis of Algorithms - Vol 2
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is the purpose of using a min-heap in Dijkstra's algorithm?

💡 Hint: Think about the operations we need to perform frequently.

Question 2

Easy

How are initial distances set in Dijkstra's algorithm?

💡 Hint: What initialization allows us to start our shortest path search?

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 heaps?

  • O(N)
  • O(N log N)
  • O((N + M) log N)

💡 Hint: Consider both vertices and edges in your calculations.

Question 2

Dijkstra's algorithm guarantees the shortest path for which type of graph?

  • True
  • False

💡 Hint: Think about how edge weights can influence the shortest paths.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design a graph with at least 5 vertices and weighted edges. Perform Dijkstra's algorithm and describe each step including the heap updates.

💡 Hint: Begin with the starting vertex and iteratively find the next minimum distance.

Question 2

Explain how modifying edge weights can impact Dijkstra’s algorithm and provide an example.

💡 Hint: Consider both increasing and decreasing an edge's weight.

Challenge and get performance evaluation