Practice Time Complexity of Deletion Operations - 40.2 | 40. Search trees - 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 happens when you delete a leaf node in a binary search tree?

πŸ’‘ Hint: Think about nodes without children.

Question 2

Easy

What is the time complexity for deletion in a balanced BST?

πŸ’‘ Hint: Relate height to number of nodes.

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 deletion in a balanced binary search tree?

  • O(n)
  • O(log n)
  • O(h)

πŸ’‘ Hint: Consider how a balanced tree might grow.

Question 2

True or False: When deleting a node with one child, you simply bypass it.

  • True
  • False

πŸ’‘ Hint: Focus on how nodes relate to each other.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

You have a BST with the values 10, 20, 30, 40, 50. If you delete 30, describe the entire process and what the tree looks like after.

πŸ’‘ Hint: Consider where the values are positioned before and after.

Question 2

Describe how inserting values in sorted order affects the height of a BST and suggest how to mitigate this for efficient deletions.

πŸ’‘ Hint: What strategies can maintain balance?

Challenge and get performance evaluation