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| 1 | +/** |
| 2 | + * Definition for a binary tree node. |
| 3 | + * public class TreeNode { |
| 4 | + * int val; |
| 5 | + * TreeNode left; |
| 6 | + * TreeNode right; |
| 7 | + * TreeNode() {} |
| 8 | + * TreeNode(int val) { this.val = val; } |
| 9 | + * TreeNode(int val, TreeNode left, TreeNode right) { |
| 10 | + * this.val = val; |
| 11 | + * this.left = left; |
| 12 | + * this.right = right; |
| 13 | + * } |
| 14 | + * } |
| 15 | + */ |
| 16 | +class Solution { |
| 17 | + public TreeNode buildTree(int[] preorder, int[] inorder) { |
| 18 | + /** |
| 19 | + 1. understanding |
| 20 | + - preorder: mid -> left -> right |
| 21 | + - inorder: left -> mid -> right |
| 22 | + - so, first element of the preorder array is always mid node. |
| 23 | + - if the idx of inorder's 1st depth mid node is k, then inorder[0:k-1] is the left tree part array. And also, preorder[k:] is the right tree part. |
| 24 | + 2. strategy |
| 25 | + - find the inorder's mid node idx, and then split left tree part and right part, buildTree with each preorder and inorder part. |
| 26 | +
|
| 27 | + 3. complexity |
| 28 | + - time: O(N^2) |
| 29 | + - space: O(N^2) |
| 30 | + */ |
| 31 | + if (preorder.length == 0) return null; |
| 32 | + if (preorder.length == 1) return new TreeNode(preorder[0]); |
| 33 | + int i = 0; |
| 34 | + List<Integer> leftPreorder = new ArrayList<>(); // O(N) |
| 35 | + List<Integer> leftInorder = new ArrayList<>(); // O(N) |
| 36 | + List<Integer> rightPreorder = new ArrayList<>(); // O(N) |
| 37 | + List<Integer> rightInorder = new ArrayList<>(); // O(N) |
| 38 | + for (; i < inorder.length; i++) { // O(N) |
| 39 | + if (inorder[i] == preorder[0]) break; |
| 40 | + leftPreorder.add(preorder[i+1]); |
| 41 | + leftInorder.add(inorder[i]); |
| 42 | + } |
| 43 | + for (int idx = i+1; idx < inorder.length; idx++) { // O(N) |
| 44 | + rightPreorder.add(preorder[idx]); |
| 45 | + rightInorder.add(inorder[idx]); |
| 46 | + } |
| 47 | + |
| 48 | + return new TreeNode(preorder[0], buildTree(leftPreorder.stream().mapToInt(Integer::intValue).toArray(), leftInorder.stream().mapToInt(Integer::intValue).toArray()), buildTree(rightPreorder.stream().mapToInt(Integer::intValue).toArray(), rightInorder.stream().mapToInt(Integer::intValue).toArray())); |
| 49 | + } |
| 50 | +} |
| 51 | + |
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