Practice Heap Applications - 36.5 | 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

Explain what happens when you insert a new value into a max-heap.

πŸ’‘ Hint: Think about how you compare with the parent.

Question 2

Easy

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

πŸ’‘ Hint: It's the starting point of your 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 for inserting an element into a max-heap?

  • O(n)
  • O(log n)
  • O(1)

πŸ’‘ Hint: Think about the maximum number of swaps you might need.

Question 2

True or False: In a min-heap, the maximum element is always at the root.

  • True
  • False

πŸ’‘ Hint: Consider the definition of a min-heap.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

You have an array of integers: [4, 10, 3, 5, 1]. Build a max heap from this array and illustrate the process.

πŸ’‘ Hint: Try inserting one at a time and visualize the swaps.

Question 2

Given a complete binary tree represented as an array, [15, 10, 8, 7, 6, 4, 3], delete the max and then show the state of the heap afterward.

πŸ’‘ Hint: Ensure to compare and swap with the largest child after the root deletion.

Challenge and get performance evaluation