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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is a heap?
💡 Hint: Think of its structure and its properties.
Question 2
Easy
How is 'delete max' performed?
💡 Hint: What do you do with the last element?
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 extracting the maximum value in a heap?
- O(n)
- O(log n)
- O(1)
💡 Hint: Think about how many levels are in a binary tree.
Question 2
True or False: The heap sort algorithm requires additional storage.
- True
- False
💡 Hint: Recall how heap sort maintains its structure.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Propose an outline for implementing an in-place heap sort algorithm from scratch. Highlight key steps.
💡 Hint: Focus on the transition steps between building the heap and extracting elements.
Question 2
How would you modify a traditional heap to allow for dynamic priority changes without losing the heap properties? Describe your approach.
💡 Hint: Reflect on Dijkstra’s algorithm and its need for efficient updates.
Challenge and get performance evaluation