Practice Behavior of Delete Max - 36.2.2 | 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

What is the time complexity of the Delete Max operation?

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

Question 2

Easy

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

πŸ’‘ Hint: Recall the heap property.

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 does the Delete Max operation do in a max-heap?

  • Removes the minimum element
  • Removes the maximum element
  • Adds a new maximum

πŸ’‘ Hint: Remember the definition of Delete Max.

Question 2

The time complexity of Delete Max is O(log n). True or False?

  • True
  • False

πŸ’‘ Hint: Consider how many levels the heap has.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Describe how to build a heap from an unsorted list and analyze its time complexity.

πŸ’‘ Hint: Think about how a tree’s leaves naturally fit the heap structure.

Question 2

Given a max-heap array representation: [50, 30, 40, 10, 20, 30], perform a Delete Max and show the ensuing transformations.

πŸ’‘ Hint: Visualize the array for the heap; draw the tree if needed.

Challenge and get performance evaluation