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Binary Search Trees
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class BSTIterator { | |
Stack<TreeNode> stack; | |
public BSTIterator(TreeNode root) { | |
this.stack = new Stack<TreeNode>(); | |
this._leftmostInorder(root); | |
} | |
private void _leftmostInorder(TreeNode root) { | |
while (root != null) { | |
this.stack.push(root); | |
root = root.left; | |
} | |
} | |
public int next() { | |
TreeNode topmostNode = this.stack.pop(); | |
if (topmostNode.right != null) { | |
this._leftmostInorder(topmostNode.right); | |
} | |
return topmostNode.val; | |
} | |
public boolean hasNext() { | |
return this.stack.size() > 0; | |
} | |
} |
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// Java program to check if two BSTs | |
// contain same set of elements | |
import java.util.*; | |
class Solution { | |
static class Node { | |
int data; | |
Node left; | |
Node right; | |
}; | |
static Node newNode(int val) | |
{ | |
Node temp = new Node(); | |
temp.data = val; | |
temp.left = temp.right = null; | |
return temp; | |
} | |
static void storeInorder(Node root, Vector<Integer> v) | |
{ | |
if (root == null) | |
return; | |
storeInorder(root.left, v); | |
v.add(root.data); | |
storeInorder(root.right, v); | |
} | |
static boolean checkBSTs(Node root1, Node root2) | |
{ | |
if (root1 == null && root2 == null) | |
return true; | |
if ((root1 == null && root2 != null) | |
|| (root1 != null && root2 == null)) | |
return false; | |
Vector<Integer> v1 = new Vector<Integer>(); | |
Vector<Integer> v2 = new Vector<Integer>(); | |
storeInorder(root1, v1); | |
storeInorder(root2, v2); | |
return (v1.hashCode() == v2.hashCode()); | |
} | |
public static void main(String[] args) | |
{ | |
if (checkBSTs(root1, root2)) | |
System.out.print("YES"); | |
else | |
System.out.print("NO"); | |
} | |
} |
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// A simple inorder traversal based Java program | |
// to find k-th smallest element in a BST. | |
import java.io.*; | |
import java.util.*; | |
class Node { | |
int data; | |
Node left, right; | |
int lCount; | |
Node(int x) | |
{ | |
data = x; | |
left = right = null; | |
lCount = 0; | |
} | |
} | |
class Gfg { | |
public static Node insert(Node root, int x) | |
{ | |
if (root == null) | |
return new Node(x); | |
if (x < root.data) { | |
root.left = insert(root.left, x); | |
root.lCount++; | |
} | |
else if (x > root.data) | |
root.right = insert(root.right, x); | |
return root; | |
} | |
public static Node kthSmallest(Node root, int k) | |
{ | |
if (root == null) | |
return null; | |
int count = root.lCount + 1; | |
if (count == k) | |
return root; | |
if (count > k) | |
return kthSmallest(root.left, k); | |
return kthSmallest(root.right, k - count); | |
} | |
// main function | |
public static void main(String args[]) | |
{ | |
Node root = null; | |
int keys[] = { 20, 8, 22, 4, 12, 10, 14 }; | |
for (int x : keys) | |
root = insert(root, x); | |
int k = 4; | |
Node res = kthSmallest(root, k); | |
if (res == null) | |
System.out.println("There are less than k nodes in the BST"); | |
else | |
System.out.println("K-th Smallest Element is " + res.data); | |
} | |
} |
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class Solution { | |
public TreeNode bstFromPreorder(int[] preorder) { | |
int n = preorder.length; | |
if (n == 0) return null; | |
TreeNode root = new TreeNode(preorder[0]); | |
Deque<TreeNode> deque = new ArrayDeque<TreeNode>(); | |
deque.push(root); | |
for (int i = 1; i < n; i++) { | |
TreeNode node = deque.peek(); | |
TreeNode child = new TreeNode(preorder[i]); | |
while (!deque.isEmpty() && deque.peek().val < child.val) | |
node = deque.pop(); | |
if (node.val < child.val) node.right = child; | |
else node.left = child; | |
deque.push(child); | |
} | |
return root; | |
} | |
} |
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class Solution { | |
public TreeNode searchBST(TreeNode root, int val) { | |
if (root == null || val == root.val) return root; | |
return val < root.val ? searchBST(root.left, val) : searchBST(root.right, val); | |
} | |
} |
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