Practice Heap Sort (36.5.1) - Priority queues and heaps - Part B - Data Structures and Algorithms in Python
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Heap Sort

Practice - Heap Sort

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

Define a max-heap.

💡 Hint: Think about how parents and children relate in terms of their values.

Question 2 Easy

What is the time complexity of inserting an element in a heap?

💡 Hint: Recall the height of a balanced heap structure!

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What property does a max-heap ensure?

A) Each parent is equal to its children
B) Each parent is smaller than its children
C) Each parent is larger than its children

💡 Hint: Think about the definition of a max-heap.

Question 2

True or False? A max-heap can be represented as an array.

True
False

💡 Hint: Recall how we index elements in heaps.

3 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given the array [3, 9, 2, 1, 4, 5], show the steps to convert it into a max-heap.

💡 Hint: Focus on adjusting from the bottom up and ensuring the max-heap condition.

Challenge 2 Hard

Consider using the provided numbers [15, 30, 10, 20, 5] in a heap sort operation. List the changes made to the heap after each delete max operation.

💡 Hint: Track the state of the heap and list each step.

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Reference links

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