Practice Naive Heap Construction (36.4.1) - Priority queues and heaps - Part B
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Naive Heap Construction

Practice - Naive Heap Construction

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Practice Questions

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Question 1 Easy

What is the time complexity for the insert operation in a max heap?

💡 Hint: Think about how many levels can exist in the heap.

Question 2 Easy

Define what a max heap is.

💡 Hint: Consider the relationships between parent and child nodes.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the time complexity of the insert operation in a max heap?

O(1)
O(log n)
O(n)

💡 Hint: Consider the maximum number of levels in the heap.

Question 2

True or False: A max heap allows for efficient access to the minimum element.

True
False

💡 Hint: Think about what elements are prioritized in a max heap.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given an initial unsorted array of integers, devise a bottom-up heapify function and analyze its complexity.

💡 Hint: Start your iteration from the index of the last non-leaf node.

Challenge 2 Hard

Write the code for the insert operation in a max heap, explaining how you ensure the max heap property is maintained after each insertion.

💡 Hint: Think about how many comparisons you may need to ensure the node is in the right place.

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