Add the following elements into a Binary Search Tree and upload an image of the tree you've created. Do not balance the tree.

67, 25, 36, 90, 18, -2, 50, 9

Give the in-order, pre-order, and post-order traversals of the tree you created

Here is the binary search tree (BST) created using the elements: 67, 25, 36, 90, 18, -2, 50, and 9. 

The traversal results are:

- **In-order traversal**: [-2, 9, 18, 25, 36, 50, 67, 90]
- **Pre-order traversal**: [67, 25, 18, -2, 9, 36, 50, 90]
- **Post-order traversal**: [9, -2, 18, 50, 36, 25, 90, 67]

Would you like further details or have any questions?

Here are 5 related questions for further exploration:
1. How does in-order traversal work in a binary search tree?
2. What are the applications of pre-order traversal in tree structures?
3. Why is the post-order traversal useful for deleting a binary tree?
4. How does the structure of a BST depend on the order of insertion of elements?
5. What are the advantages of using a self-balancing binary search tree?

**Tip:** In a binary search tree, the in-order traversal always results in a sorted sequence of elements.

Add the following elements into a Binary Search Tree and upload an image of the tree you've created. Do not balance the tree. 67, 25, 36, 90, 18, -2, 50, 9. Give the in-order, pre-order, and post-order traversals of the tree you created.

Explore how to construct a Binary Search Tree using the elements 67, 25, 36, 90, 18, -2, 50, and 9. Learn about the in-order, pre-order, and post-order traversals of the tree. This problem is suitable for students in Grades 9-12 and covers key concepts in data structures.

Math Problem Statement

Solution

Ask a new question for Free

By Image

Math Problem Analysis

Mathematical Concepts

Formulas

Theorems

Suitable Grade Level

Related Recommendation