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Code Binary Tree

# Inorder traversal of binary tree using stack in node js

Js program for Inorder traversal of binary tree using stack. Here problem description and explanation.

``````// Node JS program for
// Inorder traversal without recursion
// Using stack

// Binary Tree node
class TreeNode
{
// Make a tree node
constructor(data)
{
// Set node data
this.data = data;
this.left = null;
this.right = null;
}
}
class StackNode
{
constructor(element)
{
this.element = element;
this.next = null;
}
}
// Stack Class
class MyStack
{
constructor()
{
this.top = null;
this.size = 0;
}
// Add new element into stack
push(element)
{
// Create new node
var node = new StackNode(element);
node.next = this.top;
// new node is new top
this.top = node;
// Increase the size
this.size += 1;
}
// Remove top element of the stack
pop()
{
if (this.top != null)
{
// next node is new top
this.top = this.top.next;
// Reduce size
this.size -= 1;
}
}
// Returns the status of empty or non empty stacks
isEmpty()
{
if (this.size > 0 && this.top != null)
{
return false;
}
else
{
return true;
}
}
peek()
{
if (this.isEmpty())
{
return null;
}
return this.top.element;
}
}
class BinaryTree
{
constructor()
{
this.root = null;
}
// Display Inorder view of binary tree
inorder()
{
if (this.root != null)
{
// Make new stack
var s = new MyStack();
var node = this.root;
// Display tree element
while (!s.isEmpty() || node != null)
{
if (node != null)
{
s.push(node);
// Visit to left subtree
node = node.left;
}
else
{
// When node is null
// Get stack top element
node = s.peek();
// Display node value
process.stdout.write(" " + node.data);
// Remove top element of the stack
s.pop();
// Visit to left subtree of current node
node = node.right;
}
}
}
else
{
}
}
}

function main()
{
// Create new tree
var tree = new BinaryTree();
/*
Construct Binary Tree
-----------------------
15
/  \
24   54
/    /  \
35   62   13
*/
tree.root = new TreeNode(15);
tree.root.left = new TreeNode(24);
tree.root.right = new TreeNode(54);
tree.root.right.right = new TreeNode(13);
tree.root.right.left = new TreeNode(62);
tree.root.left.left = new TreeNode(35);
// Display result
tree.inorder();
}
// Start program execution
main();``````

Output

`` 35 24 15 62 54 13``

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