-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathToSortedBST.jav
More file actions
66 lines (49 loc) · 1.71 KB
/
Copy pathToSortedBST.jav
File metadata and controls
66 lines (49 loc) · 1.71 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
/**
Given an integer array nums where the elements are sorted in ascending order, convert it to a height-balanced binary search tree.
A height-balanced binary tree is a binary tree in which the depth of the two subtrees of every node never differs by more than one.
Example 1:
Input: nums = [-10,-3,0,5,9]
Output: [0,-3,9,-10,null,5]
Explanation: [0,-10,5,null,-3,null,9] is also accepted:
Example 2:
Input: nums = [1,3]
Output: [3,1]
Explanation: [1,3] and [3,1] are both a height-balanced BSTs.
*/
/**
* Definition for a binary tree node.
* public class TreeNode {
* int val;
* TreeNode left;
* TreeNode right;
* TreeNode() {}
* TreeNode(int val) { this.val = val; }
* TreeNode(int val, TreeNode left, TreeNode right) {
* this.val = val;
* this.left = left;
* this.right = right;
* }
* }
*/
class Solution
{
//the algorithm does a binary-search-like traversal on the array to obtain the correct value for every node
//first, create helper function for creating bST
public TreeNode createTree(int[] nums, int start, int end)
{
//passed the end of array
if(end < start) return null;
int mid = start + (end-start)/2;
TreeNode root = new TreeNode(nums[mid]);
//take the left slice of array and create left subtree
root.left = createTree(nums, start, mid-1);
//take right slice of array and create right subtree
root.right = createTree(nums, mid+1, end);
return root;
}
public TreeNode sortedArrayToBST(int[] nums)
{
//create subTree and return root node
return createTree(nums, 0, nums.length-1);
}
}