# Print BST keys in the given range

Given two values k1 and k2 (where k1 < k2) and a root pointer to a Binary Search Tree. Print all the keys of tree in range k1 to k2. i.e. print all x such that k1<=x<=k2 and x is a key of given BST. Print all the keys in increasing order.

For example, if k1 = 10 and k2 = 22, then your function should print 12, 20 and 22. Algorithm:
1) If value of root’s key is greater than k1, then recursively call in left subtree.
2) If value of root’s key is in range, then print the root’s key.
3) If value of root’s key is smaller than k2, then recursively call in right subtree.

Implementation:

## C++

 `// C++ program to print BST in given range ` `#include ` `using` `namespace` `std;  ` ` `  `/* A tree node structure */` `class` `node  ` `{  ` `    ``public``: ` `    ``int` `data;  ` `    ``node *left;  ` `    ``node *right;  ` `};  ` ` `  `/* The functions prints all the keys ` `which in the given range [k1..k2].  ` `    ``The function assumes than k1 < k2 */` `void` `Print(node *root, ``int` `k1, ``int` `k2)  ` `{  ` `    ``/* base case */` `    ``if` `( NULL == root )  ` `        ``return``;  ` `     `  `    ``/* Since the desired o/p is sorted,  ` `        ``recurse for left subtree first  ` `        ``If root->data is greater than k1,  ` `        ``then only we can get o/p keys  ` `        ``in left subtree */` `    ``if` `( k1 < root->data )  ` `        ``Print(root->left, k1, k2);  ` `     `  `    ``/* if root's data lies in range,  ` `    ``then prints root's data */` `    ``if` `( k1 <= root->data && k2 >= root->data )  ` `        ``cout<data<<``" "``;  ` `     `  `    ``/* If root->data is smaller than k2, ` `        ``then only we can get o/p keys  ` `        ``in right subtree */` `    ``if` `( k2 > root->data )  ` `        ``Print(root->right, k1, k2);  ` `}  ` ` `  `/* Utility function to create a new Binary Tree node */` `node* newNode(``int` `data)  ` `{  ` `    ``node *temp = ``new` `node();  ` `    ``temp->data = data;  ` `    ``temp->left = NULL;  ` `    ``temp->right = NULL;  ` `     `  `    ``return` `temp;  ` `}  ` ` `  `/* Driver code */` `int` `main()  ` `{  ` `    ``node *root = ``new` `node();  ` `    ``int` `k1 = 10, k2 = 25;  ` `     `  `    ``/* Constructing tree given ` `    ``in the above figure */` `    ``root = newNode(20);  ` `    ``root->left = newNode(8);  ` `    ``root->right = newNode(22);  ` `    ``root->left->left = newNode(4);  ` `    ``root->left->right = newNode(12);  ` `     `  `    ``Print(root, k1, k2);  ` `    ``return` `0;  ` `}  ` ` `  `// This code is contributed by rathbhupendra `

## C

 `#include ` ` `  `/* A tree node structure */` `struct` `node ` `{ ` `  ``int` `data; ` `  ``struct` `node *left; ` `  ``struct` `node *right; ` `}; ` ` `  `/* The functions prints all the keys which in the given range [k1..k2]. ` `    ``The function assumes than k1 < k2 */` `void` `Print(``struct` `node *root, ``int` `k1, ``int` `k2) ` `{ ` `   ``/* base case */` `   ``if` `( NULL == root ) ` `      ``return``; ` ` `  `   ``/* Since the desired o/p is sorted, recurse for left subtree first ` `      ``If root->data is greater than k1, then only we can get o/p keys ` `      ``in left subtree */` `   ``if` `( k1 < root->data ) ` `     ``Print(root->left, k1, k2); ` ` `  `   ``/* if root's data lies in range, then prints root's data */` `   ``if` `( k1 <= root->data && k2 >= root->data ) ` `     ``printf``(``"%d "``, root->data ); ` ` `  `  ``/* If root->data is smaller than k2, then only we can get o/p keys ` `      ``in right subtree */` `   ``if` `( k2 > root->data ) ` `     ``Print(root->right, k1, k2); ` `} ` ` `  `/* Utility function to create a new Binary Tree node */` `struct` `node* newNode(``int` `data) ` `{ ` `  ``struct` `node *temp = ``new` `struct` `node; ` `  ``temp->data = data; ` `  ``temp->left = NULL; ` `  ``temp->right = NULL; ` ` `  `  ``return` `temp; ` `} ` ` `  `/* Driver function to test above functions */` `int` `main() ` `{ ` `  ``struct` `node *root = ``new` `struct` `node; ` `  ``int` `k1 = 10, k2 = 25; ` ` `  `  ``/* Constructing tree given in the above figure */` `  ``root = newNode(20); ` `  ``root->left = newNode(8); ` `  ``root->right = newNode(22); ` `  ``root->left->left = newNode(4); ` `  ``root->left->right = newNode(12); ` ` `  `  ``Print(root, k1, k2); ` ` `  `  ``getchar``(); ` `  ``return` `0; ` `} `

## Java

 `// Java program to print BST in given range ` ` `  `// A binary tree node ` `class` `Node { ` ` `  `    ``int` `data; ` `    ``Node left, right; ` ` `  `    ``Node(``int` `d) { ` `        ``data = d; ` `        ``left = right = ``null``; ` `    ``} ` `} ` ` `  `class` `BinaryTree { ` `     `  `    ``static` `Node root; ` `     `  `    ``/* The functions prints all the keys which in the given range [k1..k2]. ` `     ``The function assumes than k1 < k2 */` `    ``void` `Print(Node node, ``int` `k1, ``int` `k2) { ` `         `  `        ``/* base case */` `        ``if` `(node == ``null``) { ` `            ``return``; ` `        ``} ` ` `  `        ``/* Since the desired o/p is sorted, recurse for left subtree first ` `         ``If root->data is greater than k1, then only we can get o/p keys ` `         ``in left subtree */` `        ``if` `(k1 < node.data) { ` `            ``Print(node.left, k1, k2); ` `        ``} ` ` `  `        ``/* if root's data lies in range, then prints root's data */` `        ``if` `(k1 <= node.data && k2 >= node.data) { ` `            ``System.out.print(node.data + ``" "``); ` `        ``} ` ` `  `        ``/* If root->data is smaller than k2, then only we can get o/p keys ` `         ``in right subtree */` `        ``if` `(k2 > node.data) { ` `            ``Print(node.right, k1, k2); ` `        ``} ` `    ``} ` `     `  ` `  `    ``public` `static` `void` `main(String[] args) { ` `        ``BinaryTree tree = ``new` `BinaryTree(); ` `        ``int` `k1 = ``10``, k2 = ``25``; ` `        ``tree.root = ``new` `Node(``20``); ` `        ``tree.root.left = ``new` `Node(``8``); ` `        ``tree.root.right = ``new` `Node(``22``); ` `        ``tree.root.left.left = ``new` `Node(``4``); ` `        ``tree.root.left.right = ``new` `Node(``12``); ` ` `  `        ``tree.Print(root, k1, k2); ` `    ``} ` `} ` ` `  `// This code has been contributed by Mayank Jaiswal `

## Python

 `# Python program to find BST keys in given range ` ` `  `# A binary tree node ` `class` `Node: ` ` `  `    ``# Constructor to create a new node ` `    ``def` `__init__(``self``, data): ` `        ``self``.data ``=` `data ` `        ``self``.left ``=` `None` `        ``self``.right ``=` `None` ` `  `# The function prints all the keys in the gicven range ` `# [k1..k2]. Assumes that k1 < k2  ` `def` `Print``(root, k1, k2): ` `     `  `    ``# Base Case ` `    ``if` `root ``is` `None``: ` `        ``return`  ` `  `    ``# Since the desired o/p is sorted, recurse for left ` `    ``# subtree first. If root.data is greater than k1, then ` `    ``# only we can get o/p keys in left subtree ` `    ``if` `k1 < root.data : ` `        ``Print``(root.left, k1, k2) ` ` `  `    ``# If root's data lies in range, then prints root's data ` `    ``if` `k1 <``=` `root.data ``and` `k2 >``=` `root.data: ` `        ``print` `root.data, ` ` `  `    ``# If root.data is smaller than k2, then only we can get ` `    ``# o/p keys in right subtree ` `    ``if` `k2 > root.data: ` `        ``Print``(root.right, k1, k2) ` ` `  `# Driver function to test above function ` `k1 ``=` `10` `; k2 ``=` `25` `; ` `root ``=` `Node(``20``) ` `root.left ``=` `Node(``8``) ` `root.right ``=` `Node(``22``) ` `root.left.left ``=` `Node(``4``) ` `root.left.right ``=` `Node(``12``) ` ` `  `Print``(root, k1, k2) ` ` `  `# This code is contributed by Nikhil Kumar Singh(nickzuck_007) `

## C#

 `using` `System; ` ` `  `// C# program to print BST in given range  ` ` `  `// A binary tree node  ` `public` `class` `Node ` `{ ` ` `  `    ``public` `int` `data; ` `    ``public` `Node left, right; ` ` `  `    ``public` `Node(``int` `d) ` `    ``{ ` `        ``data = d; ` `        ``left = right = ``null``; ` `    ``} ` `} ` ` `  `public` `class` `BinaryTree ` `{ ` ` `  `    ``public` `static` `Node root; ` ` `  `    ``/* The functions prints all the keys which in the given range [k1..k2].  ` `     ``The function assumes than k1 < k2 */` `    ``public` `virtual` `void` `Print(Node node, ``int` `k1, ``int` `k2) ` `    ``{ ` ` `  `        ``/* base case */` `        ``if` `(node == ``null``) ` `        ``{ ` `            ``return``; ` `        ``} ` ` `  `        ``/* Since the desired o/p is sorted, recurse for left subtree first  ` `         ``If root->data is greater than k1, then only we can get o/p keys  ` `         ``in left subtree */` `        ``if` `(k1 < node.data) ` `        ``{ ` `            ``Print(node.left, k1, k2); ` `        ``} ` ` `  `        ``/* if root's data lies in range, then prints root's data */` `        ``if` `(k1 <= node.data && k2 >= node.data) ` `        ``{ ` `            ``Console.Write(node.data + ``" "``); ` `        ``} ` ` `  `        ``/* If root->data is smaller than k2, then only we can get o/p keys  ` `         ``in right subtree */` `        ``if` `(k2 > node.data) ` `        ``{ ` `            ``Print(node.right, k1, k2); ` `        ``} ` `    ``} ` ` `  ` `  `    ``public` `static` `void` `Main(``string``[] args) ` `    ``{ ` `        ``BinaryTree tree = ``new` `BinaryTree(); ` `        ``int` `k1 = 10, k2 = 25; ` `        ``BinaryTree.root = ``new` `Node(20); ` `        ``BinaryTree.root.left = ``new` `Node(8); ` `        ``BinaryTree.root.right = ``new` `Node(22); ` `        ``BinaryTree.root.left.left = ``new` `Node(4); ` `        ``BinaryTree.root.left.right = ``new` `Node(12); ` ` `  `        ``tree.Print(root, k1, k2); ` `    ``} ` `} ` ` `  `  ``// This code is contributed by Shrikant13 `

Output:

`12 20 22`

Time Complexity: O(n) where n is the total number of keys in tree.