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Code Binary Search Tree

Construct BST from level order traversal

Here given code implementation process.

//C Program 
//Construct BST from level order traversal
#include <stdio.h>

#include <stdlib.h>
 //structure of Binary Search Tree node
struct Node
{
	int data;
	struct Node *left, *right;
};
//Adding a new node in binary search tree
void add_node(struct Node **root, int data)
{
	//Create a dynamic node of binary search tree 
	struct Node *new_node = (struct Node *) malloc(sizeof(struct Node));
	if (new_node != NULL)
	{
		//Set data and pointer values
		new_node->data = data;
		new_node->left = NULL; //Initially node left-pointer is NULL
		new_node->right = NULL; //Initially node right-pointer is NULL
		if ( *root == NULL)
		{
			//When adds a first node in binary tree
			*root = new_node;
		}
		else
		{
			struct Node *find = *root;
			//iterate binary tree and add new node to proper position
			while (find != NULL)
			{
				if (find->data > data)
				{
					if (find->left == NULL)
					{
						find->left = new_node;
						break;
					}
					else
					{ //visit left sub-tree
						find = find->left;
					}
				}
				else
				{
					if (find->right == NULL)
					{
						find->right = new_node;
						break;
					}
					else
					{
						//visit right sub-tree
						find = find->right;
					}
				}
			}
		}
	}
	else
	{
		printf("Memory Overflow\n");
		exit(0); //Terminate program execution
	}
}
//Construct BST using level order data
struct Node *level_order_insert(int level_data[], int size)
{
	struct Node *local_root = NULL;
	//first check its number of elements
	if (size > 0)
	{
		//When array are not empty
		for (int i = 0; i < size; ++i)
		{
			//Add element into tree
			add_node( & local_root, level_data[i]);
		}
	}
	return local_root;
}
//Preorder tree traversal
void preorder(struct Node *root)
{
	if (root != NULL)
	{
		printf("%3d ", root->data);
		preorder(root->left);
		preorder(root->right);
	}
}
//Inorder tree traversal
void inorder(struct Node *root)
{
	if (root != NULL)
	{
		inorder(root->left);
		printf("%3d ", root->data);
		inorder(root->right);
	}
}
//Postorder tree traversal
void postorder(struct Node *root)
{
	if (root != NULL)
	{
		postorder(root->left);
		postorder(root->right);
		printf("%3d ", root->data);
	}
}
int main()
{
	struct Node *root = NULL;
	//Add nodes in binary search tree
	/*
	       5
	     /    \
	    3      9
	   / \     / \
	  1   4   8   11
	 / \     /      \
	0  2    7        12
	*/
	int level_data[] = {
		5 , 3 , 9 , 1 , 4 , 8 , 11 , 0 , 2 , 7 , 12
	};
	int size = sizeof(level_data) / sizeof(level_data[0]);
	root = level_order_insert(level_data, size);
	printf("\nPerorder : ");
	preorder(root);
	printf("\nInorder : ");
	inorder(root);
	printf("\nPostorder : ");
	postorder(root);
	return 0;
}

Output

Perorder :   5   3   1   0   2   4   9   8   7  11  12
Inorder :   0   1   2   3   4   5   7   8   9  11  12
Postorder :   0   2   1   4   3   7   8  12  11   9   5
//Java program
//Construct BST from level order traversal
//Binary Tree Node
class Node
{
	public int data;
	public Node left;
	public Node right;
	public Node(int data)
	{
		this.data = data;
		this.left = null;
		this.right = null;
	}
}
class BinarySearchTree
{
	public Node root;
	//Class constructors
	public BinarySearchTree()
	{
		root = null;
	}
	//insert  element
	public void add_node(int data)
	{
		//Create a new binary tree node
		Node new_node = new Node(data);
		if (new_node != null)
		{
			if (this.root == null)
			{
				//When adds a first node in binary tree
				this.root = new_node;
			}
			else
			{
				Node find = this.root;
				//add new node to proper position
				while (find != null)
				{
					if (find.data >= data)
					{
						if (find.left == null)
						{
							find.left = new_node;
							break;
						}
						else
						{
							//visit left sub-tree
							find = find.left;
						}
					}
					else
					{
						if (find.right == null)
						{
							find.right = new_node;
							break;
						}
						else
						{
							//visit right sub-tree
							find = find.right;
						}
					}
				}
			}
		}
		else
		{
			System.out.println("Memory Overflow");
		}
	}
	public void preorder(Node root)
	{
		if (root != null)
		{
			System.out.print("  " + root.data);
			preorder(root.left);
			preorder(root.right);
		}
	}
	public void inorder(Node root)
	{
		if (root != null)
		{
			inorder(root.left);
			System.out.print("  " + root.data);
			inorder(root.right);
		}
	}
	public void postorder(Node root)
	{
		if (root != null)
		{
			postorder(root.left);
			postorder(root.right);
			System.out.print("  " + root.data);
		}
	}
	//Construct BST using level order data
	public void level_order_insert(int[] level_data, int size)
	{
		//first check its number of elements
		if (size > 0)
		{
			//When array are not empty
			for (int i = 0; i < size; ++i)
			{
				//Add element into tree
				add_node(level_data[i]);
			}
		}
	}
	public static void main(String[] args)
	{
		BinarySearchTree obj = new BinarySearchTree();
		int[] level_data = {
			5 , 3 , 9 , 1 , 4 , 8 , 11 , 0 , 2 , 7 , 12
		};
		int size = level_data.length;
		obj.level_order_insert(level_data, size);
		System.out.print("\nPerorder : ");
		obj.preorder(obj.root);
		System.out.print("\nInorder : ");
		obj.inorder(obj.root);
		System.out.print("\nPostorder : ");
		obj.postorder(obj.root);
	}
}

Output

Perorder :   5  3  1  0  2  4  9  8  7  11  12
Inorder :   0  1  2  3  4  5  7  8  9  11  12
Postorder :   0  2  1  4  3  7  8  12  11  9  5
//Include header file
#include <iostream>

using namespace std;
//C++ program
//Construct BST from level order traversal
//Binary Tree Node
class Node
{
	public: 
    int data;
	Node * left;
	Node * right;
	Node(int data)
	{
		this->data = data;
		this->left = NULL;
		this->right = NULL;
	}
};
class BinarySearchTree
{
	public: Node * root;
	//Class constructors
	BinarySearchTree()
	{
		this->root = NULL;
	}
	//insert  element
	void add_node(int data)
	{
		//Create a new binary tree node
		Node * new_node = new Node(data);
		if (new_node != NULL)
		{
			if (this->root == NULL)
			{
				//When adds a first node in binary tree
				this->root = new_node;
			}
			else
			{
				Node * find = this->root;
				//add new node to proper position
				while (find != NULL)
				{
					if (find->data >= data)
					{
						if (find->left == NULL)
						{
							find->left = new_node;
							break;
						}
						else
						{
							//visit left sub-tree
							find = find->left;
						}
					}
					else
					{
						if (find->right == NULL)
						{
							find->right = new_node;
							break;
						}
						else
						{
							//visit right sub-tree
							find = find->right;
						}
					}
				}
			}
		}
		else
		{
			cout << "Memory Overflow";
		}
	}
	void preorder(Node * root)
	{
		if (root != NULL)
		{
			cout << "  " << root->data;
			this->preorder(root->left);
			this->preorder(root->right);
		}
	}
	void inorder(Node * root)
	{
		if (root != NULL)
		{
			this->inorder(root->left);
			cout << "  " << root->data;
			this->inorder(root->right);
		}
	}
	void postorder(Node * root)
	{
		if (root != NULL)
		{
			this->postorder(root->left);
			this->postorder(root->right);
			cout << "  " << root->data;
		}
	}
	//Construct BST using level order data
	void level_order_insert(int level_data[], int size)
	{
		//first check its number of elements
		if (size > 0)
		{
			//When array are not empty
			for (int i = 0; i < size; ++i)
			{
				//Add element into tree
				this->add_node(level_data[i]);
			}
		}
	}
};
int main()
{
	BinarySearchTree obj = BinarySearchTree();
	int level_data[] = {
		5 , 3 , 9 , 1 , 4 , 8 , 11 , 0 , 2 , 7 , 12
	};
	int size = sizeof(level_data) / sizeof(level_data[0]);
	obj.level_order_insert(level_data, size);
	cout << "\nPerorder : ";
	obj.preorder(obj.root);
	cout << "\nInorder : ";
	obj.inorder(obj.root);
	cout << "\nPostorder : ";
	obj.postorder(obj.root);
	return 0;
}

Output

Perorder :   5  3  1  0  2  4  9  8  7  11  12
Inorder :   0  1  2  3  4  5  7  8  9  11  12
Postorder :   0  2  1  4  3  7  8  12  11  9  5
//Include namespace system
using System;
//C# program
//Construct BST from level order traversal
//Binary Tree Node
public class Node
{
	public int data;
	public Node left;
	public Node right;
	public Node(int data)
	{
		this.data = data;
		this.left = null;
		this.right = null;
	}
}
public class BinarySearchTree
{
	public Node root;
	//Class constructors
	public BinarySearchTree()
	{
		root = null;
	}
	//insert  element
	public void add_node(int data)
	{
		//Create a new binary tree node
		Node new_node = new Node(data);
		if (new_node != null)
		{
			if (this.root == null)
			{
				//When adds a first node in binary tree
				this.root = new_node;
			}
			else
			{
				Node find = this.root;
				//add new node to proper position
				while (find != null)
				{
					if (find.data >= data)
					{
						if (find.left == null)
						{
							find.left = new_node;
							break;
						}
						else
						{
							//visit left sub-tree
							find = find.left;
						}
					}
					else
					{
						if (find.right == null)
						{
							find.right = new_node;
							break;
						}
						else
						{
							//visit right sub-tree
							find = find.right;
						}
					}
				}
			}
		}
		else
		{
			Console.WriteLine("Memory Overflow");
		}
	}
	public void preorder(Node root)
	{
		if (root != null)
		{
			Console.Write("  " + root.data);
			preorder(root.left);
			preorder(root.right);
		}
	}
	public void inorder(Node root)
	{
		if (root != null)
		{
			inorder(root.left);
			Console.Write("  " + root.data);
			inorder(root.right);
		}
	}
	public void postorder(Node root)
	{
		if (root != null)
		{
			postorder(root.left);
			postorder(root.right);
			Console.Write("  " + root.data);
		}
	}
	//Construct BST using level order data
	public void level_order_insert(int[] level_data, int size)
	{
		//first check its number of elements
		if (size > 0)
		{
			//When array are not empty
			for (int i = 0; i < size; ++i)
			{
				//Add element into tree
				add_node(level_data[i]);
			}
		}
	}
	public static void Main(String[] args)
	{
		BinarySearchTree obj = new BinarySearchTree();
		int[] level_data = {
			5 , 3 , 9 , 1 , 4 , 8 , 11 , 0 , 2 , 7 , 12
		};
		int size = level_data.Length;
		obj.level_order_insert(level_data, size);
		Console.Write("\nPerorder : ");
		obj.preorder(obj.root);
		Console.Write("\nInorder : ");
		obj.inorder(obj.root);
		Console.Write("\nPostorder : ");
		obj.postorder(obj.root);
	}
}

Output

Perorder :   5  3  1  0  2  4  9  8  7  11  12
Inorder :   0  1  2  3  4  5  7  8  9  11  12
Postorder :   0  2  1  4  3  7  8  12  11  9  5
<?php
//Php program
//Construct BST from level order traversal
//Binary Tree Node
class Node
{
	public $data;
	public $left;
	public $right;

	function __construct($data)
	{
		$this->data = $data;
		$this->left = null;
		$this->right = null;
	}
}
class BinarySearchTree
{
	public $root;
	//Class constructors
	function __construct()
	{
		$this->root = null;
	}
	//insert  element
	public	function add_node($data)
	{
		//Create a new binary tree node
		$new_node = new Node($data);
		if ($new_node != null)
		{
			if ($this->root == null)
			{
				//When adds a first node in binary tree
				$this->root = $new_node;
			}
			else
			{
				$find = $this->root;
				//add new node to proper position
				while ($find != null)
				{
					if ($find->data >= $data)
					{
						if ($find->left == null)
						{
							$find->left = $new_node;
							break;
						}
						else
						{
							//visit left sub-tree
							$find = $find->left;
						}
					}
					else
					{
						if ($find->right == null)
						{
							$find->right = $new_node;
							break;
						}
						else
						{
							//visit right sub-tree
							$find = $find->right;
						}
					}
				}
			}
		}
		else
		{
			echo "Memory Overflow";
		}
	}
	public	function preorder($root)
	{
		if ($root != null)
		{
			echo "  ". $root->data;
			$this->preorder($root->left);
			$this->preorder($root->right);
		}
	}
	public	function inorder($root)
	{
		if ($root != null)
		{
			$this->inorder($root->left);
			echo "  ". $root->data;
			$this->inorder($root->right);
		}
	}
	public	function postorder($root)
	{
		if ($root != null)
		{
			$this->postorder($root->left);
			$this->postorder($root->right);
			echo "  ". $root->data;
		}
	}
	//Construct BST using level order data
	public	function level_order_insert( & $level_data, $size)
	{
		//first check its number of elements
		if ($size > 0)
		{
			//When array are not empty
			for ($i = 0; $i < $size; ++$i)
			{
				//Add element into tree
				$this->add_node($level_data[$i]);
			}
		}
	}
}

function main()
{
	$obj = new BinarySearchTree();
	$level_data = array(5, 3, 9, 1, 4, 8, 11, 0, 2, 7, 12);
	$size = count($level_data);
	$obj->level_order_insert($level_data, $size);
	echo "\nPerorder : ";
	$obj->preorder($obj->root);
	echo "\nInorder : ";
	$obj->inorder($obj->root);
	echo "\nPostorder : ";
	$obj->postorder($obj->root);
}
main();

Output

Perorder :   5  3  1  0  2  4  9  8  7  11  12
Inorder :   0  1  2  3  4  5  7  8  9  11  12
Postorder :   0  2  1  4  3  7  8  12  11  9  5
# Python 3 program
# Construct BST from level order traversal
# Binary Tree Node
class Node :
	
	def __init__(self, data) :
		self.data = data
		self.left = None
		self.right = None
	

class BinarySearchTree :
	
	# Class constructors
	def __init__(self) :
		self.root = None
	
	# insert  element
	def add_node(self, data) :
		# Create a new binary tree node
		new_node = Node(data)
		if (new_node != None) :
			if (self.root == None) :
				# When adds a first node in binary tree
				self.root = new_node
			else :
				find = self.root
				# add new node to proper position
				while (find != None) :
					if (find.data >= data) :
						if (find.left == None) :
							find.left = new_node
							break
						else :
							# visit left sub-tree
							find = find.left
						
					else :
						if (find.right == None) :
							find.right = new_node
							break
						else :
							# visit right sub-tree
							find = find.right
						
					
				
			
		else :
			print("Memory Overflow", end = "")
		
	
	def preorder(self, root) :
		if (root != None) :
			print("  ", root.data, end = "")
			self.preorder(root.left)
			self.preorder(root.right)
		
	
	def inorder(self, root) :
		if (root != None) :
			self.inorder(root.left)
			print("  ", root.data, end = "")
			self.inorder(root.right)
		
	
	def postorder(self, root) :
		if (root != None) :
			self.postorder(root.left)
			self.postorder(root.right)
			print("  ", root.data, end = "")
		
	
	# Construct BST using level order data
	def level_order_insert(self, level_data, size) :
		# first check its number of elements
		if (size > 0) :
			# When array are not empty
			i = 0
			while (i < size) :
				# Add element into tree
				self.add_node(level_data[i])
				i += 1
			
		
	

def main() :
	obj = BinarySearchTree()
	level_data = [5, 3, 9, 1, 4, 8, 11, 0, 2, 7, 12]
	size = len(level_data)
	obj.level_order_insert(level_data, size)
	print("\nPerorder : ", end = "")
	obj.preorder(obj.root)
	print("\nInorder : ", end = "")
	obj.inorder(obj.root)
	print("\nPostorder : ", end = "")
	obj.postorder(obj.root)

if __name__ == "__main__": main()

Output

Perorder :    5   3   1   0   2   4   9   8   7   11   12
Inorder :    0   1   2   3   4   5   7   8   9   11   12
Postorder :    0   2   1   4   3   7   8   12   11   9   5
# Ruby program
# Construct BST from level order traversal
# Binary Tree Node
class Node 

	# Define the accessor and reader of class Node  
	attr_reader :data, :left, :right
	attr_accessor :data, :left, :right

	def initialize(data)
	
		self.data = data
		self.left = nil
		self.right = nil
	end
end
class BinarySearchTree 

	# Define the accessor and reader of class BinarySearchTree  
	attr_reader :root
	attr_accessor :root

	# Class constructors
	def initialize()
	
		@root = nil
	end
	# insert  element
	def add_node(data)
	
		# Create a new binary tree node
		new_node = Node.new(data)
		if (new_node != nil)
		
			if (self.root == nil)
			
				# When adds a first node in binary tree
				self.root = new_node
			else
			
				find = self.root
				# add new node to proper position
				while (find != nil)
				
					if (find.data >= data)
					
						if (find.left == nil)
						
							find.left = new_node
							break
						else
						
							# visit left sub-tree
							find = find.left
						end
					else
					
						if (find.right == nil)
						
							find.right = new_node
							break
						else
						
							# visit right sub-tree
							find = find.right
						end
					end
				end
			end
		else
		
			print("Memory Overflow")
		end
	end
	def preorder(root)
	
		if (root != nil)
		
			print("  ", root.data)
			self.preorder(root.left)
			self.preorder(root.right)
		end
	end
	def inorder(root)
	
		if (root != nil)
		
			self.inorder(root.left)
			print("  ", root.data)
			self.inorder(root.right)
		end
	end
	def postorder(root)
	
		if (root != nil)
		
			self.postorder(root.left)
			self.postorder(root.right)
			print("  ", root.data)
		end
	end
	# Construct BST using level order data
	def level_order_insert(level_data, size)
	
		# first check its number of elements
		if (size > 0)
		
			# When array are not empty
			i = 0
			while (i < size)
			
				# Add element into tree
				self.add_node(level_data[i])
				i += 1
			end
		end
	end
end
def main()

	obj = BinarySearchTree.new()
	level_data = [5, 3, 9, 1, 4, 8, 11, 0, 2, 7, 12]
	size = level_data.length
	obj.level_order_insert(level_data, size)
	print("\nPerorder : ")
	obj.preorder(obj.root)
	print("\nInorder : ")
	obj.inorder(obj.root)
	print("\nPostorder : ")
	obj.postorder(obj.root)
end
main()

Output

Perorder :   5  3  1  0  2  4  9  8  7  11  12
Inorder :   0  1  2  3  4  5  7  8  9  11  12
Postorder :   0  2  1  4  3  7  8  12  11  9  5
//Scala program
//Construct BST from level order traversal
//Binary Tree Node
class Node(var data: Int,
	var left: Node,
		var right: Node)
{
	def this(data: Int)
	{
		this(data, null, null);
	}
}
class BinarySearchTree(var root: Node)
{
	//Class constructors
	def this()
	{
		this(null);
	}
	//insert  element
	def add_node(data: Int): Unit = {
		//Create a new binary tree node
		var new_node: Node = new Node(data);
		if (new_node != null)
		{
			if (this.root == null)
			{
				//When adds a first node in binary tree
				this.root = new_node;
			}
			else
			{
				var find: Node = this.root;
				//add new node to proper position
				while (find != null)
				{
					if (find.data >= data)
					{
						if (find.left == null)
						{
							find.left = new_node;
							return;
						}
						else
						{
							//visit left sub-tree
							find = find.left;
						}
					}
					else
					{
						if (find.right == null)
						{
							find.right = new_node;
							return;
						}
						else
						{
							//visit right sub-tree
							find = find.right;
						}
					}
				}
			}
		}
		else
		{
			print("Memory Overflow");
		}
	}
	def preorder(root: Node): Unit = {
		if (root != null)
		{
			print("  " + root.data);
			preorder(root.left);
			preorder(root.right);
		}
	}
	def inorder(root: Node): Unit = {
		if (root != null)
		{
			inorder(root.left);
			print("  " + root.data);
			inorder(root.right);
		}
	}
	def postorder(root: Node): Unit = {
		if (root != null)
		{
			postorder(root.left);
			postorder(root.right);
			print("  " + root.data);
		}
	}
	//Construct BST using level order data
	def level_order_insert(level_data: Array[Int], size: Int): Unit = {
		//first check its number of elements
		if (size > 0)
		{
			//When array are not empty
			var i: Int = 0;
			while (i < size)
			{
				//Add element into tree
				add_node(level_data(i));
				i += 1;
			}
		}
	}
}
object Main
{
	def main(args: Array[String]): Unit = {
		var obj: BinarySearchTree = new BinarySearchTree();
		var level_data: Array[Int] = Array(5, 3, 9, 1, 4, 8, 11, 0, 2, 7, 12);
		var size: Int = level_data.length;
		obj.level_order_insert(level_data, size);
		print("\nPerorder : ");
		obj.preorder(obj.root);
		print("\nInorder : ");
		obj.inorder(obj.root);
		print("\nPostorder : ");
		obj.postorder(obj.root);
	}
}

Output

Perorder :   5  3  1  0  2  4  9  8  7  11  12
Inorder :   0  1  2  3  4  5  7  8  9  11  12
Postorder :   0  2  1  4  3  7  8  12  11  9  5
//Swift program
//Construct BST from level order traversal
//Binary Tree Node
class Node
{
	var data: Int;
	var left: Node? ;
	var right: Node? ;
	init(_ data: Int)
	{
		self.data = data;
		self.left = nil;
		self.right = nil;
	}
}
class BinarySearchTree
{
	var root: Node? ;
	//Class constructors
	init()
	{
		self.root = nil;
	}
	//insert  element
	func add_node(_ data: Int)
	{
		//Create a new binary tree node
		let new_node: Node? = Node(data);
		if (new_node != nil)
		{
			if (self.root == nil)
			{
				//When adds a first node in binary tree
				self.root = new_node;
			}
			else
			{
				var find: Node? = self.root;
				//add new node to proper position
				while (find != nil)
				{
					if (find!.data >= data)
					{
						if (find!.left == nil)
						{
							find!.left = new_node;
							break;
						}
						else
						{
							//visit left sub-tree
							find = find!.left;
						}
					}
					else
					{
						if (find!.right == nil)
						{
							find!.right = new_node;
							break;
						}
						else
						{
							//visit right sub-tree
							find = find!.right;
						}
					}
				}
			}
		}
		else
		{
			print("Memory Overflow", terminator: "");
		}
	}
	func preorder(_ root: Node? )
	{
		if (root != nil)
		{
			print("  ", root!.data, terminator: "");
			self.preorder(root!.left);
			self.preorder(root!.right);
		}
	}
	func inorder(_ root: Node? )
	{
		if (root != nil)
		{
			self.inorder(root!.left);
			print("  ", root!.data, terminator: "");
			self.inorder(root!.right);
		}
	}
	func postorder(_ root: Node? )
	{
		if (root != nil)
		{
			self.postorder(root!.left);
			self.postorder(root!.right);
			print("  ", root!.data, terminator: "");
		}
	}
	//Construct BST using level order data
	func level_order_insert(_ level_data: [Int], _ size: Int)
	{
		//first check its number of elements
		if (size > 0)
		{
			//When array are not empty
			var i: Int = 0;
			while (i < size)
			{
				//Add element into tree
				self.add_node(level_data[i]);
				i += 1;
			}
		}
	}
}
func main()
{
	let obj: BinarySearchTree = BinarySearchTree();
	let level_data: [Int] = [5, 3, 9, 1, 4, 8, 11, 0, 2, 7, 12];
	let size: Int = level_data.count;
	obj.level_order_insert(level_data, size);
	print("\nPerorder : ", terminator: "");
	obj.preorder(obj.root);
	print("\nInorder : ", terminator: "");
	obj.inorder(obj.root);
	print("\nPostorder : ", terminator: "");
	obj.postorder(obj.root);
}
main();

Output

Perorder :    5   3   1   0   2   4   9   8   7   11   12
Inorder :    0   1   2   3   4   5   7   8   9   11   12
Postorder :    0   2   1   4   3   7   8   12   11   9   5
//Node Js program
//Construct BST from level order traversal
//Binary Tree Node
class Node
{
	constructor(data)
	{
		this.data = data;
		this.left = null;
		this.right = null;
	}
}
class BinarySearchTree
{
	//Class constructors
	constructor()
	{
		this.root = null;
	}
	//insert  element
	add_node(data)
	{
		//Create a new binary tree node
		var new_node = new Node(data);
		if (new_node != null)
		{
			if (this.root == null)
			{
				//When adds a first node in binary tree
				this.root = new_node;
			}
			else
			{
				var find = this.root;
				//add new node to proper position
				while (find != null)
				{
					if (find.data >= data)
					{
						if (find.left == null)
						{
							find.left = new_node;
							break;
						}
						else
						{
							//visit left sub-tree
							find = find.left;
						}
					}
					else
					{
						if (find.right == null)
						{
							find.right = new_node;
							break;
						}
						else
						{
							//visit right sub-tree
							find = find.right;
						}
					}
				}
			}
		}
		else
		{
			process.stdout.write("Memory Overflow");
		}
	}
	preorder(root)
	{
		if (root != null)
		{
			process.stdout.write("  " + root.data);
			this.preorder(root.left);
			this.preorder(root.right);
		}
	}
	inorder(root)
	{
		if (root != null)
		{
			this.inorder(root.left);
			process.stdout.write("  " + root.data);
			this.inorder(root.right);
		}
	}
	postorder(root)
	{
		if (root != null)
		{
			this.postorder(root.left);
			this.postorder(root.right);
			process.stdout.write("  " + root.data);
		}
	}
	//Construct BST using level order data
	level_order_insert(level_data, size)
	{
		//first check its number of elements
		if (size > 0)
		{
			//When array are not empty
			var i = 0;
			while (i < size)
			{
				//Add element into tree
				this.add_node(level_data[i]);
				++i;
			}
		}
	}
}

function main()
{
	var obj = new BinarySearchTree();
	var level_data = [5, 3, 9, 1, 4, 8, 11, 0, 2, 7, 12];
	var size = level_data.length;
	obj.level_order_insert(level_data, size);
	process.stdout.write("\nPerorder : ");
	obj.preorder(obj.root);
	process.stdout.write("\nInorder : ");
	obj.inorder(obj.root);
	process.stdout.write("\nPostorder : ");
	obj.postorder(obj.root);
}
main();

Output

Perorder :   5  3  1  0  2  4  9  8  7  11  12
Inorder :   0  1  2  3  4  5  7  8  9  11  12
Postorder :   0  2  1  4  3  7  8  12  11  9  5

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