Tree Traversal Methods

Depth-First Traversals

Inorder Traversal (Left → Root → Right)

• Use Cases: Get sorted order in BST, expression trees
• Time Complexity: O(n)
• Space Complexity: O(h) where h is height

Preorder Traversal (Root → Left → Right)

• Use Cases: Copy tree, prefix expressions, tree serialization
• Applications: Creating tree from traversal

Postorder Traversal (Left → Right → Root)

• Use Cases: Delete tree, postfix expressions, calculate tree size
• Applications: Bottom-up processing

Breadth-First Traversal

Level-order Traversal

• Use Cases: Print by levels, find height, check completeness
• Implementation: Uses queue data structure
• Applications: Tree width, minimum depth