Practice Heap Sort - 36.5.1 | 36. Priority queues and heaps - Part B | Data Structures and Algorithms in Python
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

Define a max-heap.

πŸ’‘ 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?

πŸ’‘ Hint: Recall the height of a balanced heap structure!

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 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

πŸ’‘ 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

πŸ’‘ Hint: Recall how we index elements in heaps.

Solve 3 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

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

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

Question 2

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.

πŸ’‘ Hint: Track the state of the heap and list each step.

Challenge and get performance evaluation