Practice Insert Operation (36.1) - Priority queues and heaps - Part B - Data Structures and Algorithms in Python
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

Insert Operation

Practice - Insert Operation

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

Describe where the new value is placed during the insert operation in a heap.

💡 Hint: Think about how a binary tree's structure fills up.

Question 2 Easy

What happens to the tree's height as we insert new values into a balanced heap?

💡 Hint: Consider how binary trees grow.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

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

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

💡 Hint: Think about how many steps it takes to fix the tree.

Question 2

True or False: The maximum value in a max heap is always located at the bottom of the tree.

True
False

💡 Hint: Recall where the max heap property places the largest values.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

You are given an array of integers [15, 10, 20, 30, 25]. Describe how you would create a max heap from this array using the efficient method and calculate time complexity.

💡 Hint: Consider adjusting from leaves upwards and how parent indices are calculated.

Challenge 2 Hard

If you delete the maximum element in the following heap representation [60, 40, 50, 30, 20, 10], detail the steps taken and the structure after deletion.

💡 Hint: Visualize the heap structure and the necessary swaps.

Get performance evaluation

Reference links

Supplementary resources to enhance your learning experience.