Practice Properties of Heaps - 36.6.1 | 36. Priority queues and heaps - Part B | Data Structures and Algorithms in Python
K12 Students

Academics

AI-Powered learning for Grades 8–12, aligned with major Indian and international curricula.

Academics
Professionals

Professional Courses

Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.

Professional Courses
Games

Interactive Games

Fun, engaging games to boost memory, math fluency, typing speed, and English skillsβ€”perfect for learners of all ages.

games

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is the time complexity of inserting an element into a max-heap?

πŸ’‘ Hint: Think about the height of a tree.

Question 2

Easy

Where is the maximum element located in a max-heap?

πŸ’‘ Hint: Consider the properties of a max-heap.

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 is the time complexity of deleting the maximum element in a max-heap?

  • O(n)
  • O(log n)
  • O(1)

πŸ’‘ Hint: Recall the properties of the heap structure.

Question 2

True or False: Heaps can be implemented using linked lists.

  • True
  • False

πŸ’‘ Hint: Think about the structure and optimization of heaps.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given the array [3, 1, 7, 8, 5] build a max-heap and illustrate the process.

πŸ’‘ Hint: Use the insertion method to build up.

Question 2

Explain why heapsort is considered efficient and is often preferred over other sorting algorithms.

πŸ’‘ Hint: Think about memory and space efficiency compared to other algorithms.

Challenge and get performance evaluation