Construct Binary Tree from Preorder and Inorder Traversal
LeetCode https://leetcode.cn/problems/construct-binary-tree-from-preorder-and-inorder-traversal/
Index | 0 | 1 | 2 | 3 | 4 | 5 | 6 |
---|---|---|---|---|---|---|---|
Preorder | 10 | 5 | 2 | 7 | 15 | 12 | 20 |
Inorder | 2 | 5 | 7 | 10 | 12 | 15 | 20 |
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/**
* 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 {
public TreeNode buildTree(int[] preorder, int[] inorder) {
Map<Integer, Integer> map = new HashMap<>();
for (int i = 0; i < inorder.length; i++) {
map.put(inorder[i], i);
}
return buildTreeHelper(preorder, inorder, 0, inorder.length -1, 0,
preorder.length - 1, map);
}
private TreeNode buildTreeHelper(int[] preorder, int[] inorder,
int inL, int inR, int preL, int preR, Map<Integer, Integer> map) {
// base case
if (inL > inR) {
return null;
}
TreeNode root = new TreeNode(preorder[preL]);
int size = map.get(preorder[preL]) - inL;
root.left = buildTreeHelper(preorder, inorder, inL, inL + size -1,
preL + 1, preL + size, map);
root.right = buildTreeHelper(preorder, inorder, inL + size + 1, inR,
preL + 1 + size, preR, map);
return root;
}
}
Complexity
- Time = O(n)
- Space = O(n)
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