- Difficulty: Medium
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
思路: recursion
- Recursively find the node that has the same value as the key, while setting the left/right nodes equal to the returned subtree
- Once the node is found, have to handle the below 4 cases
- node doesn't have left or right - return null
- node only has left subtree- return the left subtree
- node only has right subtree- return the right subtree
- node has both left and right - find the minimum value in the right subtree, set that value to the currently found node, then recursively delete the minimum value in the right subtree
public class Solution { public TreeNode deleteNode(TreeNode root, int key) { if(root == null) return root; 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 minNode = findMin(root.right); root.val=minNode.val; root.right=deleteNode(root.right,minNode.val); } return root; } public TreeNode findMin(TreeNode root){ if(root.left==null)return root; return findMin(root.left); } }
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