Inorder traversal of a Binary tree can either be done using recursion or with the use of a auxiliary stack. The idea of threaded binary trees is to make inorder traversal faster and do it without stack and without recursion. A binary tree is made threaded by making all right child pointers that would normally be NULL point to the inorder successor of the node (if it exists).

There are two types of threaded binary trees.* Single Threaded: *Where a NULL right pointers is made to point to the inorder successor (if successor exists)

* Double Threaded:* Where both left and right NULL pointers are made to point to inorder predecessor and inorder successor respectively. The predecessor threads are useful for reverse inorder traversal and postorder traversal.

The threads are also useful for fast accessing ancestors of a node.

Following diagram shows an example Single Threaded Binary Tree. The dotted lines represent threads.

**C representation of a Threaded Node**

Following is C representation of a single threaded node.

`struct` `Node `
`{ ` ` ` `int` `data; `
` ` `Node *left, *right; `
` ` `bool` `rightThread; `
`} ` |

*chevron_right*

*filter_none*

Since right pointer is used for two purposes, the boolean variable rightThread is used to indicate whether right pointer points to right child or inorder successor. Similarly, we can add leftThread for a double threaded binary tree.

**Inorder Taversal using Threads**

Following is C code for inorder traversal in a threaded binary tree.

`// Utility function to find leftmost node in a tree rooted with n ` `struct` `Node* leftMost(` `struct` `Node *n) `
`{ ` ` ` `if` `(n == NULL) `
` ` `return` `NULL; `
` ` ` ` `while` `(n->left != NULL) `
` ` `n = n->left; `
` ` ` ` `return` `n; `
`} ` ` ` `// C code to do inorder traversal in a threaded binary tree ` `void` `inOrder(` `struct` `Node *root) `
`{ ` ` ` `struct` `Node *cur = leftmost(root); `
` ` `while` `(cur != NULL) `
` ` `{ `
` ` `printf` `(` `"%d "` `, cur->data); `
` ` ` ` `// If this node is a thread node, then go to `
` ` `// inorder successor `
` ` `if` `(cur->rightThread) `
` ` `cur = cur->right; `
` ` `else` `// Else go to the leftmost child in right subtree `
` ` `cur = leftmost(cur->right); `
` ` `} `
`}` |

*chevron_right*

*filter_none*

Following diagram demonstrates inorder order traversal using threads.

We will soon be discussing insertion and deletion in threaded binary trees.

**Sources:**

http://en.wikipedia.org/wiki/Threaded_binary_tree

www.cs.berkeley.edu/~kamil/teaching/su02/080802.ppt

Please write comments if you find anything incorrect, or you want to share more information about the topic discussed above

Attention reader! Don’t stop learning now. Get hold of all the important DSA concepts with the **DSA Self Paced Course** at a student-friendly price and become industry ready.

## Recommended Posts:

- Convert a Binary Tree to Threaded binary tree | Set 2 (Efficient)
- Convert a Binary Tree to Threaded binary tree | Set 1 (Using Queue)
- Threaded Binary Tree | Insertion
- Double Threaded Binary Search Tree
- Threaded Binary Search Tree | Deletion
- Reverse Morris traversal using Threaded Binary Tree
- Inorder Non-threaded Binary Tree Traversal without Recursion or Stack
- Complexity of different operations in Binary tree, Binary Search Tree and AVL tree
- Check if a binary tree is subtree of another binary tree using preorder traversal : Iterative
- Minimum swap required to convert binary tree to binary search tree
- Check whether a binary tree is a full binary tree or not | Iterative Approach
- Binary Tree to Binary Search Tree Conversion using STL set
- Check whether a binary tree is a full binary tree or not
- Check if a binary tree is subtree of another binary tree | Set 2
- Difference between Binary Tree and Binary Search Tree
- Check if a binary tree is subtree of another binary tree | Set 1
- Binary Tree to Binary Search Tree Conversion
- Check whether a given binary tree is skewed binary tree or not?
- Convert a Binary Search Tree into a Skewed tree in increasing or decreasing order
- Check if max sum level of Binary tree divides tree into two equal sum halves

**Practice Tags :**