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# Binary Tree Construction from Inorder and Preorder Traversals 🌳🔍

Introduction
Hello there! Today, we're diving into the fascinating world of binary trees 🌳. Specifically, we'll explore how to reconstruct a binary tree given its inorder and preorder traversals.

What is a Binary Tree?
A binary tree is a tree data structure where each node has at most two children, referred to as the left child and the right child.

Traversal Methods:
Inorder and Preorder
Before we reconstruct a tree, let's understand what inorder and preorder traversals are:
For a visual representation and quick refresh click on this link.

Inorder Traversal
(Left, Root, Right): Visit the left subtree, then the root, and finally the right subtree.

Preorder Traversal
(Root, Left, Right): Visit the root first, then the left subtree, and finally the right subtree.
Reconstructing the Binary Tree
The key to reconstructing the binary tree lies in understanding how these traversals work. Let's break it down with an example:

Example
Consider the following traversals of a binary tree:

Inorder: D, B, E, A, F, C, G
Preorder: A, B, D, E, C, F, G

Step-by-Step Reconstruction
Identify the Root: The first element in the preorder traversal is always the root of the tree. In our example, 'A' is the root.

Divide the Inorder Traversal: Using the root 'A', divide the inorder traversal into two parts - left subtree (D, B, E) and right subtree (F, C, G).

Recurse for Subtrees: Apply the same logic recursively for the left and right subtrees using the remaining elements in the preorder traversal.

For the left subtree (D, B, E), the next element in the preorder traversal is 'B', which becomes the root of this subtree.
Similarly, for the right subtree (F, C, G), the next element in the preorder traversal is 'C'.
Repeat Until Tree is Constructed: Continue this process until the entire tree is reconstructed.

Visual Representation
To make it more understandable, let's visualize the process: