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Binary trees are fundamental data structures in computer science and understanding their traversal is crucial for various applications. Traversing a binary tree means visiting all the nodes in a specific order. There are several traversal methods, each with its unique applications and benefits. This article will explore the main types of binary tree traversal: in-order, pre-order, post-order, and level-order.
Table of Content
In in-order traversal, the left child is visited first, followed by the node itself, and then the right child. This can be visualized as Left - Root - Right.
In-Order Traversal: 4 1 5 2 3
Time Complexity: O(N)
Auxiliary Space: If we don’t consider the size of the stack for function calls then O(1) otherwise O(h) where h is the height of the tree.
Below are some important concepts in In-order Traversal:
In pre-order traversal, the node is visited first, followed by its left child and then its right child. This can be visualized as Root - Left - Right.
Pre-Order Traversal: 1 2 4 5 3
Time Complexity: O(N)
Auxiliary Space: If we don’t consider the size of the stack for function calls then O(1) otherwise O(h) where h is the height of the tree.
Below are some important concepts in Pre-Order Traversal:
In post-order traversal, the left child is visited first, then the right child, and finally the node itself. This can be visualized as Left - Right - Root.
Post-Order Traversal: 4 5 2 3 1
Below are some important concepts in Post-Order Traversal:
In level-order traversal, the nodes are visited level by level, starting from the root node and then moving to the next level. This can be visualized as Level 1 - Level 2 - Level 3 - ....
Level-Order Traversal: 1 2 3 4 5
Below are some important concepts in Level-Order Traversal:
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