Practice Efficient Heap Construction (36.4.2) - Priority queues and heaps - Part B
Students

Academic Programs

AI-powered learning for grades 8-12, aligned with major curricula

Professional

Professional Courses

Industry-relevant training in Business, Technology, and Design

Games

Interactive Games

Fun games to boost memory, math, typing, and English skills

Efficient Heap Construction

Practice - Efficient Heap Construction

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the time complexity of inserting a node into a heap?

💡 Hint: Think about the height of the tree.

Question 2 Easy

Where do we place a new node in a heap?

💡 Hint: This is done to maintain the complete tree structure.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What time complexity does the delete max operation have in a max heap?

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

💡 Hint: Think about the tree height.

Question 2

True or False: A leaf node in a heap always satisfies the heap property.

True
False

💡 Hint: What do leaf nodes lack?

3 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

If you have an array of integers: [5, 3, 8, 4, 1, 7]. Construct a max heap using the bottom-up approach. Show the heap structure at each step.

💡 Hint: Follow the process layer by layer while applying heap rules.

Challenge 2 Hard

Explain why heap sort is not stable and what implications that has. Provide an example to support your explanation.

💡 Hint: Consider how data is removed and what order you extract elements.

Get performance evaluation

Reference links

Supplementary resources to enhance your learning experience.