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Java-based LeetCode algorithm problem solutions, regularly updated
package g0601_0700.s0669_trim_a_binary_search_tree;
// #Medium #Depth_First_Search #Tree #Binary_Tree #Binary_Search_Tree
// #2022_03_22_Time_0_ms_(100.00%)_Space_45.7_MB_(24.17%)
import com_github_leetcode.TreeNode;
/*
* Definition for a binary tree node.
* public class TreeNode {
* int val;
* TreeNode left;
* TreeNode right;
* TreeNode() {}
* TreeNode(int val) { this.val = val; }
* TreeNode(int val, TreeNode left, TreeNode right) {
* this.val = val;
* this.left = left;
* this.right = right;
* }
* }
*/
/**
* 669 - Trim a Binary Search Tree\.
*
* Medium
*
* Given the `root` of a binary search tree and the lowest and highest boundaries as `low` and `high`, trim the tree so that all its elements lies in `[low, high]`. Trimming the tree should **not** change the relative structure of the elements that will remain in the tree (i.e., any node's descendant should remain a descendant). It can be proven that there is a **unique answer**.
*
* Return _the root of the trimmed binary search tree_. Note that the root may change depending on the given bounds.
*
* **Example 1:**
*
* ![](https://assets.leetcode.com/uploads/2020/09/09/trim1.jpg)
*
* **Input:** root = [1,0,2], low = 1, high = 2
*
* **Output:** [1,null,2]
*
* **Example 2:**
*
* ![](https://assets.leetcode.com/uploads/2020/09/09/trim2.jpg)
*
* **Input:** root = [3,0,4,null,2,null,null,1], low = 1, high = 3
*
* **Output:** [3,2,null,1]
*
* **Constraints:**
*
* * The number of nodes in the tree in the range [1, 104]
.
* * 0 <= Node.val <= 104
* * The value of each node in the tree is **unique**.
* * `root` is guaranteed to be a valid binary search tree.
* * 0 <= low <= high <= 104
**/
public class Solution {
public TreeNode trimBST(TreeNode root, int l, int r) {
if (root == null) {
return root;
}
if (root.val > r) {
return trimBST(root.left, l, r);
}
if (root.val < l) {
return trimBST(root.right, l, r);
}
root.left = trimBST(root.left, l, r);
root.right = trimBST(root.right, l, r);
return root;
}
}
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