Binary Tree Traversal Methods
Binary tree traversal refers to the process of visiting each node in a binary tree exactly once in a systematic way. The main traversal methods are:
- Preorder Traversal: Visit the root, then left subtree, then right subtree.
- Inorder Traversal: Visit the left subtree, then root, then right subtree.
- Postorder Traversal: Visit the left subtree, then right subtree, then root.
- Level-order Traversal: Visit nodes level by level from top to bottom, left to right.
- Start at root ($A$). Go to left child ($B$).
- At $B$, go to left child ($D$). $D$ has no left child, so visit $D$.
- Back to $B$, visit $B$.
- Go to right child of $B$ ($E$). $E$ has no left child, so visit $E$.
- Back to root ($A$), visit $A$.
- Go to right child of $A$ ($C$). $C$ has no left child, so visit $C$.
- Binary trees can be traversed in multiple ways, each serving different purposes.
- Inorder traversal of a binary search tree yields nodes in sorted order.
- Understanding traversal methods is fundamental for tree-based algorithms.
Example: Traversing a Binary Tree
Consider the following binary tree:
````
A
/
B C
/
D E
Let's perform inorder traversal (Left, Root, Right):
#### Step-by-Step
Inorder sequence: $D, B, E, A, C$
Traversal Orders (Summary Table)
| Traversal | Order | Example Output |
|---|---|---|
| Preorder | Root, Left, Right | A, B, D, E, C |
| Inorder | Left, Root, Right | D, B, E, A, C |
| Postorder | Left, Right, Root | D, E, B, C, A |
| Level-order | Level by level | A, B, C, D, E |