Given a root node reference of a BST and a key, delete the node with the given key in the BST. Return the root node reference (possibly updated) of the BST.
Basically, the deletion can be divided into two stages:
- Search for a node to remove.
- If the node is found, delete the node.
Note: Time complexity should be O(height of tree).
Example:
root = [5,3,6,2,4,null,7] key = 3 5 / 3 6 / 2 4 7 Given key to delete is 3. So we find the node with value 3 and delete it. One valid answer is [5,4,6,2,null,null,7], shown in the following BST. 5 / 4 6 / 2 7 Another valid answer is [5,2,6,null,4,null,7]. 5 / 2 6 4 7
含义:现在有一个二叉搜索树,现在要让你删除一个节点,并且保证整个BST的性质不变
1 /** 2 * Definition for a binary tree node. 3 * public class TreeNode { 4 * int val; 5 * TreeNode left; 6 * TreeNode right; 7 * TreeNode(int x) { val = x; } 8 * } 9 */ 10 class Solution { 11 12 public TreeNode deleteNode(TreeNode root, int key) { 13 if(root == null){ 14 return null; 15 } 16 if(key < root.val){ 17 root.left = deleteNode(root.left, key); 18 }else if(key > root.val){ 19 root.right = deleteNode(root.right, key); 20 }else{ 21 if(root.left == null){ 22 return root.right; 23 }else if(root.right == null){ 24 return root.left; 25 } 26 27 TreeNode minNode = findMin(root.right); 28 root.val = minNode.val; 29 root.right = deleteNode(root.right, root.val); 30 } 31 return root; 32 } 33 34 private TreeNode findMin(TreeNode node){ 35 while(node.left != null){ 36 node = node.left; 37 } 38 return node; 39 } 40 }