-
Notifications
You must be signed in to change notification settings - Fork 4
Expand file tree
/
Copy pathDeleteNodeInBST.java
More file actions
69 lines (58 loc) · 1.33 KB
/
DeleteNodeInBST.java
File metadata and controls
69 lines (58 loc) · 1.33 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
/**
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
*/
public class Solution {
public TreeNode deleteNode(TreeNode root, int key) {
if (root == null)
return null;
if (key < root.val)
root.left = deleteNode(root.left, key);
else if (key > root.val)
root.right = deleteNode(root.right, key);
else {
if (root.left == null)
return root.right;
else if (root.right == null){
return root.left;
}
else {
TreeNode minNode = findMin(root.right);
root.val = minNode.val;
root.right = deleteNode(root.right, root.val);
}
}
return root;
}
public TreeNode findMin(TreeNode node) {
while (node.left != null) {
node = node.left;
}
return node;
}
}