Binary Tree Traversals - IT magazine

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Binary Tree Traversals

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Traversal is a process to visit all the nodes of a tree and may print their values too. Because, all nodes are connected via edges (links) we always start from the root (head) node. That is, we cannot randomly access a node in a tree. There are three ways which we use to traverse a tree −


  1. In-order Traversal
  2. Pre-order Traversal
  3. Post-order Traversal

Generally, we traverse a tree to search or locate a given item or key in the tree or to print all the values it contains.

In-order Traversal

In this traversal method, the left sub tree is visited first, then the root and later the right sub-tree. We should always remember that every node may represent a sub tree itself.

If a binary tree is traversed in-order, the output will produce sorted key values in an ascending order.
We start from A, and following in-order traversal, we move to its left sub tree B. B is also traversed in-order. The process goes on until all the nodes are visited. The output of in-order traversal of this tree will be −


D → B → E → A → F → C → G


Algorithm

Until all nodes are traversed −
Step 1 − Visit root node.
Step 2 − Recursively traverse left sub tree.
Step 3 − Recursively traverse right sub tree.


Pre-order Traversal

In this traversal method, the root node is visited first, then the left sub tree and finally the right sub tree.

We start from A, and following pre-order traversal, we first visit A itself and then move to its left sub tree B. B is also traversed pre-order. The process goes on until all the nodes are visited. The output of pre-order traversal of this tree will be −


A → B → D → E → C → F → G


Algorithm

Until all nodes are traversed −
Step 1 − Visit root node.
Step 2 − Recursively traverse left sub tree.
Step 3 − Recursively traverse right sub tree.


Post-order Traversal

In this traversal method, the root node is visited last, hence the name. First we traverse the left sub tree, then the right sub tree and finally the root node.



We start from A, and following Post-order traversal, we first visit the left sub tree B. B is also traversed post-order. The process goes on until all the nodes are visited. The output of post-order traversal of this tree will be −

D → E → B → F → G → C → A


Algorithm

Until all nodes are traversed −
Step 1 − Recursively traverse left sub tree.
Step 2 − Recursively traverse right sub-tree.
Step 3 − Visit root node.



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