You are given the root of a binary search tree (BST) and an integer val.
Find the node in the BST that the node’s value equals val and return the subtree rooted with that node. If such a node does not exist, return null.
Example 1:
Input: root = [4,2,7,1,3], val = 2 Output: [2,1,3]
Example 2:
Input: root = [4,2,7,1,3], val = 5 Output: []
Constraints:
- The number of nodes in the tree is in the range [1, 5000].
- 1 <= Node.val <= 107
- root is a binary search tree.
- 1 <= val <= 107
Runtime: 92 ms, faster than 84.88% of JavaScript online submissions for Search in a Binary Search Tree.
Memory Usage: 45.2 MB, less than 33.90% of JavaScript online submissions for Search in a Binary Search Tree.
/**
* Definition for a binary tree node.
* function TreeNode(val, left, right) {
* this.val = (val===undefined ? 0 : val)
* this.left = (left===undefined ? null : left)
* this.right = (right===undefined ? null : right)
* }
*/
/**
* @param {TreeNode} root
* @param {number} val
* @return {TreeNode}
*/
var searchBST = function(root, val) {
if (!root) {
return null;
}
if (root.val === val) {
return root;
}
if (root.val > val) {
return searchBST(root.left, val);
}
return searchBST(root.right, val);
};
Runtime: 88 ms, faster than 92.84% of JavaScript online submissions for Search in a Binary Search Tree.
Memory Usage: 45.6 MB, less than 8.59% of JavaScript online submissions for Search in a Binary Search Tree.
/**
* Definition for a binary tree node.
* function TreeNode(val, left, right) {
* this.val = (val===undefined ? 0 : val)
* this.left = (left===undefined ? null : left)
* this.right = (right===undefined ? null : right)
* }
*/
/**
* @param {TreeNode} root
* @param {number} val
* @return {TreeNode}
*/
var searchBST = function(root, val) {
if (!root) {
return null;
}
let node = root;
while(node) {
if (node.val === val) {
return node;
}
if (node.val > val) {
node = node.left;
} else {
node = node.right;
}
}
return null;
};