# Find right leaf node in a binary search tree

Here given code implementation process.

``````//C Program
//Find right leaf node in a binary search tree
#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(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 add a first node in BST
*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
}
}
void right_leaf_nodes(struct Node *root)
{
if (root != NULL)
{
if (root->right != NULL && root->right->left == NULL && root->right->right == NULL)
{
//When find right leaf node
printf("  %d", root->right->data);
}
right_leaf_nodes(root->left);
right_leaf_nodes(root->right);
}
}
int main()
{
struct Node *root = NULL;
//Add nodes in binary search tree
/*
17
/     \
4       19
/ \     /  \
3   10  18   20
/  \        \
9    16       37
*/
right_leaf_nodes(root);
return 0;
}``````

#### Output

``  16  37``
``````//Java Program
//Find right leaf node in a binary search tree
//Binary Search Tree Node
class Node
{
// Data value
public int data;
// Indicates left and right subtree
public Node left;
public Node right;
public Node(int data)
{
this.data = data;
this.left = null;
this.right = null;
}
}
class BinarySearchTree
{
public Node root;
public BinarySearchTree()
{
this.root = null;
}
//insert a binary search tree element
{
//Create a dynamic node of binary search tree
Node new_node = new Node(data);
if (new_node != null)
{
if (root == null)
{
//When add a first node in BST
root = new_node;
}
else
{
Node find = root;
//Add a new node to its 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
{
System.out.println("Memory Overflow");
}
}
void right_leaf_nodes(Node root)
{
if (root != null)
{
if (root.right != null && root.right.right == null && root.right.left == null)
{
//When find right leaf node
System.out.print("  " + root.right.data);
}
right_leaf_nodes(root.left);
right_leaf_nodes(root.right);
}
}
public static void main(String[] args)
{
BinarySearchTree obj = new BinarySearchTree();
//Add nodes in binary search tree
/*
17
/     \
4       19
/ \     /  \
3   10  18   20
/  \        \
9    16       37
*/
obj.right_leaf_nodes(obj.root);
}
}``````

#### Output

``  16  37``
``````//Include header file
#include <iostream>

using namespace std;
//C++ Program
//Find right leaf node in a binary search tree
//Binary Search Tree Node
class Node
{
public:
// Data value
int data;
// Indicates left and right subtree
Node * left;
Node * right;
Node(int data)
{
this->data = data;
this->left = NULL;
this->right = NULL;
}
};
class BinarySearchTree
{
public: Node * root;
BinarySearchTree()
{
this->root = NULL;
}
//insert a binary search tree element
{
//Create a dynamic node of binary search tree
Node * new_node = new Node(data);
if (new_node != NULL)
{
if (this->root == NULL)
{
//When add a first node in BST
this->root = new_node;
}
else
{
Node * find = this->root;
//Add a new node to its 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
{
cout << "Memory Overflow";
}
}
void right_leaf_nodes(Node * root)
{
if (root != NULL)
{
if (root->right != NULL && root->right->right == NULL && root->right->left == NULL)
{
//When find right leaf node
cout << "  " << root->right->data;
}
this->right_leaf_nodes(root->left);
this->right_leaf_nodes(root->right);
}
}
};
int main()
{
BinarySearchTree obj = BinarySearchTree();
//Add nodes in binary search tree
/*
17
/     \
4       19
/ \     /  \
3   10  18   20
/  \        \
9    16       37
*/
obj.right_leaf_nodes(obj.root);
return 0;
}``````

#### Output

``  16  37``
``````//Include namespace system
using System;
//C# Program
//Find right leaf node in a binary search tree
//Binary Search Tree Node
class Node
{
// Data value
public int data;
// Indicates left and right subtree
public Node left;
public Node right;
public Node(int data)
{
this.data = data;
this.left = null;
this.right = null;
}
}
class BinarySearchTree
{
public Node root;
public BinarySearchTree()
{
this.root = null;
}
//insert a binary search tree element
{
//Create a dynamic node of binary search tree
Node new_node = new Node(data);
if (new_node != null)
{
if (root == null)
{
//When add a first node in BST
root = new_node;
}
else
{
Node find = root;
//Add a new node to its 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
{
Console.WriteLine("Memory Overflow");
}
}
void right_leaf_nodes(Node root)
{
if (root != null)
{
if (root.right != null && root.right.right == null && root.right.left == null)
{
//When find right leaf node
Console.Write("  " + root.right.data);
}
right_leaf_nodes(root.left);
right_leaf_nodes(root.right);
}
}
public static void Main(String[] args)
{
BinarySearchTree obj = new BinarySearchTree();
//Add nodes in binary search tree
/*
17
/     \
4       19
/ \     /  \
3   10  18   20
/  \        \
9    16       37
*/
obj.right_leaf_nodes(obj.root);
}
}``````

#### Output

``  16  37``
``````<?php
//Php Program
//Find right leaf node in a binary search tree
//Binary Search Tree Node
class Node
{
// Data value
public \$data;
// Indicates left and right subtree
public \$left;
public \$right;

function __construct(\$data)
{
\$this->data = \$data;
\$this->left = null;
\$this->right = null;
}
}
class BinarySearchTree
{
public \$root;

function __construct()
{
\$this->root = null;
}
//insert a binary search tree element
{
//Create a dynamic node of binary search tree
\$new_node = new Node(\$data);
if (\$new_node != null)
{
if (\$this->root == null)
{
//When add a first node in BST
\$this->root = \$new_node;
}
else
{
\$find = \$this->root;
//Add a new node to its 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
{
echo "Memory Overflow";
}
}

function right_leaf_nodes(\$root)
{
if (\$root != null)
{
if (\$root->right != null && \$root->right->right == null && \$root->right->left == null)
{
echo "  ". \$root->right->data;
}
\$this->right_leaf_nodes(\$root->left);
\$this->right_leaf_nodes(\$root->right);
}
}
}

function main()
{
\$obj = new BinarySearchTree();
//Add nodes in binary search tree
/*
17
/     \
4       19
/ \     /  \
3   10  18   20
/  \        \
9    16       37
*/
\$obj->right_leaf_nodes(\$obj->root);
}
main();``````

#### Output

``  16  37``
``````//Node Js Program
//Find right leaf node in a binary search tree
//Binary Search Tree Node
class Node
{
constructor(data)
{
// Data value
this.data = data;
// Indicates left and right subtree
this.left = null;
this.right = null;
}
}
class BinarySearchTree
{
constructor()
{
this.root = null;
}
//insert a binary search tree element
{
//Create a dynamic node of binary search tree
var new_node = new Node(data);
if (new_node != null)
{
if (this.root == null)
{
//When add a first node in BST
this.root = new_node;
}
else
{
var find = this.root;
//Add a new node to its 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
{
process.stdout.write("Memory Overflow");
}
}
right_leaf_nodes(root)
{
if (root != null)
{
if (root.right != null && root.right.right == null && root.right.left == null)
{
process.stdout.write("  " + root.right.data);
}
this.right_leaf_nodes(root.left);
this.right_leaf_nodes(root.right);
}
}
}

function main()
{
var obj = new BinarySearchTree();
//Add nodes in binary search tree
/*
17
/     \
4       19
/ \     /  \
3   10  18   20
/  \        \
9    16       37
*/
obj.right_leaf_nodes(obj.root);
}
main();``````

#### Output

``  16  37``
``````# Python 3 Program
# Find right leaf node in a binary search tree
# Binary Search Tree Node
class Node :

def __init__(self, data) :
#  Data value
self.data = data
#  Indicates left and right subtree
self.left = None
self.right = None

class BinarySearchTree :

def __init__(self) :
self.root = None

# insert a binary search tree element
# Create a dynamic node of binary search tree
new_node = Node(data)
if (new_node != None) :
if (self.root == None) :
# When add a first node in BST
self.root = new_node
else :
find = self.root
# Add a new node to its proper position
while (find != None) :
if (find.data >= data) :
if (find.left == None) :
find.left = new_node
return
else :
# visit left sub-tree
find = find.left

else :
if (find.right == None) :
find.right = new_node
return
else :
# visit right sub-tree
find = find.right

else :
print("Memory Overflow")

def right_leaf_nodes(self, root) :
if (root != None) :
if (root.right != None and root.right.right == None and root.right.left == None) :
print(root.right.data, end = "  ")

self.right_leaf_nodes(root.left)
self.right_leaf_nodes(root.right)

def main() :
obj = BinarySearchTree()
# Add nodes in binary search tree
#
#            17
#         /     \
#        4       19
#       / \     /  \
#      3   10  18   20
#         /  \        \
#        9    16       37
#

obj.right_leaf_nodes(obj.root)

if __name__ == "__main__": main()``````

#### Output

``16  37``
``````# Ruby Program
# Find right leaf node in a binary search tree
# Binary Search Tree Node
class Node

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

def initialize(data)
#  Data value
self.data = data

#  Indicates left and right subtree
self.left = nil
self.right = nil
end
end
class BinarySearchTree

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

def initialize()
self.root = nil
end
# insert a binary search tree element

# Create a dynamic node of binary search tree
new_node = Node.new(data)
if (new_node != nil)

if (@root == nil)

# When add a first node in BST
@root = new_node
else

find = @root
# Add a new node to its proper position
while (find != nil)

if (find.data >= data)

if (find.left == nil)

find.left = new_node
return
else

# visit left sub-tree
find = find.left
end
else

if (find.right == nil)

find.right = new_node
return
else

# visit right sub-tree
find = find.right
end
end
end
end
else

print("Memory Overflow")
end
end
def right_leaf_nodes(root)

if (root != nil)

if (root.right != nil && root.right.right == nil && root.right.left == nil)

# When find right leaf node
print("  ", root.right.data)
end
self.right_leaf_nodes(root.left)
self.right_leaf_nodes(root.right)
end
end
end
def main()

obj = BinarySearchTree.new()
# Add nodes in binary search tree
#
#            17
#         /     \
#        4       19
#       / \     /  \
#      3   10  18   20
#         /  \        \
#        9    16       37
#

obj.right_leaf_nodes(obj.root)
end
main()``````

#### Output

``  16  37``
``````//Scala Program
//Find right leaf node in a binary search tree
//Binary Search 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)
{
def this()
{
this(null);
}
//insert a binary search tree element
def add(data: Int): Unit = {
//Create a dynamic node of binary search tree
var new_node: Node = new Node(data);
if (new_node != null)
{
if (root == null)
{
//When add a first node in BST
root = new_node;
}
else
{
var find: Node = root;
//Add a new node to its 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 right_leaf_nodes(root: Node): Unit = {
if (root != null)
{
if (root.right != null && root.right.right == null && root.right.left == null)
{
//When find right leaf node
print("  " + root.right.data);
}
right_leaf_nodes(root.left);
right_leaf_nodes(root.right);
}
}
}
object Main
{
def main(args: Array[String]): Unit = {
var obj: BinarySearchTree = new BinarySearchTree();
//Add nodes in binary search tree
/*
17
/     \
4       19
/ \     /  \
3   10  18   20
/  \        \
9    16       37
*/
obj.right_leaf_nodes(obj.root);
}
}``````

#### Output

``  16  37``
``````//Swift Program
//Find right leaf node in a binary search tree
//Binary Search Tree Node
class Node
{
// Data value
var data: Int;
// Indicates left and right subtree
var left: Node? ;
var right: Node? ;
init(_ data: Int)
{
self.data = data;
self.left = nil;
self.right = nil;
}
}
class BinarySearchTree
{
var root: Node? ;
init()
{
self.root = nil;
}
//insert a binary search tree element
{
//Create a dynamic node of binary search tree
let new_node: Node? = Node(data);
if (new_node != nil)
{
if (self.root == nil)
{
//When add a first node in BST
self.root = new_node;
}
else
{
var find: Node? = self.root;
//Add a new node to its proper position
while (find != nil)
{
if (find!.data >= data)
{
if (find!.left == nil)
{
find!.left = new_node;
return;
}
else
{
//visit left sub-tree
find = find!.left;
}
}
else
{
if (find!.right == nil)
{
find!.right = new_node;
return;
}
else
{
//visit right sub-tree
find = find!.right;
}
}
}
}
}
else
{
print("Memory Overflow", terminator: "");
}
}
func right_leaf_nodes(_ root: Node? )
{
if (root != nil)
{
if (root!.right != nil && root!.right!.right == nil && root!.right!.left == nil)
{
print("  ", root!.right!.data, terminator: "");
}
self.right_leaf_nodes(root!.left);
self.right_leaf_nodes(root!.right);
}
}
}
func main()
{
let obj: BinarySearchTree = BinarySearchTree();
//Add nodes in binary search tree
/*
17
/     \
4       19
/ \     /  \
3   10  18   20
/  \        \
9    16       37
*/
obj.right_leaf_nodes(obj.root);
}
main();``````

#### Output

``   16   37``

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