Description:
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
Solution:
Recursive遞歸
首先查找到val=key節點的所在位置,在查找的過程中,利用遞歸重建BST。
查找到之後,需要将目前節點重新指派,然後重新建構右子樹,方式是将右子樹的最左葉結點的值付給目前節點,然後删除該最左葉結點。
/**
* Definition for a binary tree node.
* public class TreeNode {
* int val;
* TreeNode left;
* TreeNode right;
* TreeNode(int x) { val = x; }
* }
*/
class Solution {
public TreeNode deleteNode(TreeNode root, int key) {
if(root == null){
return null;
}
if(root.val > key){
root.left = deleteNode(root.left, key);
}else if(root.val < key){
root.right = deleteNode(root.right, key);
}else{
if(root.left == null){
return root.right;
}else if(root.right == null){
return root.left;
}
TreeNode temp = search(root.right);
root.val = temp.val;
root.right = deleteNode(root.right, temp.val);
}
return root;
}
public TreeNode search(TreeNode node){
while(node.left != null){
node = node.left;
}
return node;
}
}