Practice Introduction to Search Trees - 1.1 | 14. Search Trees | Design & Analysis of Algorithms - Vol 2
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is a search tree?

💡 Hint: Think about how data is organized for quick retrieval.

Question 2

Easy

Define a min heap.

💡 Hint: Consider how this structure allows easy access to the smallest element.

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 main characteristic of a min heap?

  • The smallest element is always the left child.
  • The largest element is always the root.
  • The smallest element is always at the root.

💡 Hint: Think about where you'd find the minimum value in a collection.

Question 2

True or False: A binary search tree can have duplicate values.

  • True
  • False

💡 Hint: Recall the property of how elements are organized in a BST.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Construct a binary search tree from the numbers 10, 15, 5, 3, 12. Then perform both insert and delete operations, documenting changes to the tree at each step.

💡 Hint: Visualize each insertion and deletion to see how it affects the tree’s structure.

Question 2

You are given an unordered list of times [16:00, 16:30, 15:30, 15:45]. Design a search tree. How would you perform an in-order traversal and what would the outcome be?

💡 Hint: Remember to always begin with the smallest value on the left when constructing your tree.

Challenge and get performance evaluation