Practice Inserting values into a heap - 36.6 | 36. Priority queues and heaps - Part A | 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

What is a heap?

πŸ’‘ Hint: Think about its structure and value properties.

Question 2

Easy

What does the max heap property state?

πŸ’‘ Hint: Remember the comparison between parents and children in a tree.

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 worst-case time complexity for inserting a value into a heap?

  • O(n)
  • O(log n)
  • O(n log n)

πŸ’‘ Hint: Think about the height of the heap.

Question 2

In a max heap, a parent node can have a value less than its children.

  • True
  • False

πŸ’‘ Hint: Reflect on the definition of the max heap property.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given the following sequence of insertions into an empty max heap: 15, 25, 10, 30, 20 - show the structure of the heap after each insertion.

πŸ’‘ Hint: Visualize how max heaps rearrange after each new addition.

Question 2

Explain why the insertion of a new node could lead to multiple swaps. Provide a scenario demonstrating this.

πŸ’‘ Hint: Consider the relationships in the tree and the value comparisons.

Challenge and get performance evaluation