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10.4.1. Naive Heap Construction
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Mixed questions from across the chapter. Your answers get marked.
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Flashcard drill
4 cards from this lesson. Good the night before a test.
Try these first
- 1.
What is the main property of a max heap?
Hint
Think about how the largest value is organized in the tree.
- 2.
How does the time complexity of insertion in a heap compare to a simple list?
Hint
Consider how the elements are arranged in a list versus a heap.
- 3.
In a max heap, every parent node is less than or equal to its children.
- True
- False
Hint
Recall the definition of a max heap from our discussion.
- 4.
What is the time complexity for deleting the maximum node in a max heap?
- O(N)
- log(N)
- O(1)
Hint
Think about the height of the heap.
- 5.
Given the array [1, 3, 5, 7, 9, 2, 4, 6, 8], construct a max heap using both the naive insertion method and the bottom-up method. Compare the steps taken.
Hint
Keep track of the number of swaps and the structure at each step.
- 6.
Explain why it’s more efficient to use a bottom-up heapifying approach rather than naive construction. Provide an example to illustrate your reason.
Hint
Focus on how many nodes are involved at different levels and how many swaps are really done.
Exercises
Total Questions
2
Estimated Time
4 min
Passing Score
70%
Instructions
- Read each question carefully
- You can use hints if you need help
- Complete all questions before submitting
4 more questions available
Enrol freeQuiz
Total Questions
2
Estimated Time
4 min
Passing Score
70%
Instructions
- Read each question carefully
- You can use hints if you need help
- Complete all questions before submitting
2 more questions available
Enrol freeChallenge Problems
Total Questions
2
Estimated Time
4 min
Passing Score
70%
Instructions
- Read each question carefully
- You can use hints if you need help
- Complete all questions before submitting