450. Delete node from BST
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
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 public class Solution { 11 public TreeNode deleteNode(TreeNode root, int val) { 12 if (root == null) return root; 13 14 if (root.val > val) { 15 root.left = deleteNode(root.left, val); 16 } else if (root.val < val) { 17 root.right = deleteNode(root.right, val); 18 } else { 19 if (root.left == null && root.right == null) { 20 return null; 21 } else if (root.left == null) { 22 return root.right; 23 } else if (root.right == null) { 24 return root.left; 25 } else { 26 root.val = findMin(root.right).val; 27 root.right = deleteNode(root.right, root.val); 28 } 29 } 30 return root; 31 } 32 33 public TreeNode findMin(TreeNode n) { 34 if (n.left != null) { 35 return findMin(n.left); 36 } 37 return n; 38 } 39 }

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