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This code demonstrates various operations on a Binary Search Tree (BST) including insertion, deletion, node updating, and different tree traversals (pre-order, post-order, in-order, and level order).

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Binary Search Tree (BST) Operations

Overview

This program demonstrates various operations on a Binary Search Tree (BST) in C++. It includes functionality for inserting nodes, deleting nodes, updating node values, and performing different tree traversals (pre-order, post-order, in-order, and level-order).

Features

  • Insertion: Adds a new value to the BST while maintaining its properties.
  • Deletion: Removes a node with a specified key, handling various cases (no children, one child, two children).
  • Update: Updates a node's value by deleting the existing node and inserting a new one.
  • Traversals:
    • Pre-order Traversal: Visits nodes in the order: root, left subtree, right subtree.
    • Post-order Traversal: Visits nodes in the order: left subtree, right subtree, root.
    • In-order Traversal: Visits nodes in the order: left subtree, root, right subtree.
    • Level-order Traversal: Visits nodes level by level starting from the root.

Code Explanation

Node Structure: Defines a node with data, left, and right pointers. Insert Function: Recursively adds a new node to the BST. Delete Function: Removes a node, handling cases with no children, one child, or two children. Update Function: Updates a node’s value by first deleting the existing node and then inserting a new one. Traversal Functions: preOrder: Uses a stack for pre-order traversal. postOrder: Uses two stacks for post-order traversal. inOrder: Uses a stack for in-order traversal. levelOrder: Uses a queue for level-order traversal. Example Output

After inserting and modifying nodes, the program performs and displays the results of the following traversals:

Pre-order traversal Post-order traversal In-order traversal Level-order traversal

About

This code demonstrates various operations on a Binary Search Tree (BST) including insertion, deletion, node updating, and different tree traversals (pre-order, post-order, in-order, and level order).

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