Binary Search Tree: Structure, Operations, and Applications

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Program Code – Binary Search Tree: Structure, Operations, and Applications

Code Output:

Code Explanation:

The provided code snippet defines a Node class representing a node in a binary search tree (BST). The insert function is used to insert nodes into the BST based on their values, maintaining the property of lesser values on the left and greater values on the right. The inorder_traversal function performs an inorder traversal of the BST, returning a list of values in sorted order.

In the code snippet, a BST is created using the create_bst function by inserting elements [20, 10, 30, 5, 15, 25, 35] into the tree. The BST is then traversed in inorder, resulting in the values being stored in the inorder list variable.

This code demonstrates the implementation of a binary search tree data structure, showcasing how nodes are inserted and sorted through an inorder traversal.

FAQs on Binary Search Tree: Structure, Operations, and Applications

1. What is a binary search tree (BST)?
2. How is a binary search tree structured based on the keyword "binary search tree"?
3. What are the basic operations that can be performed on a binary search tree?
4. Can you explain the process of inserting a node into a binary search tree using the keyword "binary search tree"?
5. How does searching for a specific node work in a binary search tree?
6. What are the advantages of using a binary search tree in comparison to other data structures?
7. Are there any common applications of binary search trees in real-world scenarios?