Construct Binary Tree from Preorder and Inorder Traversal
Given two arrays representing the preorder and inorder traversal of a binary tree, reconstruct and return the tree.
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Problem
Given two integer arrays preorder and inorder where preorder is the preorder traversal of a binary tree and inorder is the inorder traversal of the same tree, construct and return the binary tree.
Input
An integer array `preorder` and an integer array `inorder`. All values are unique.
Output
The root of the reconstructed binary tree.
Examples
Input: preorder = [3,9,20,15,7], inorder = [9,3,15,20,7]
Output: [3,9,20,null,null,15,7]
Root=3 (first preorder). In inorder, 3 is at index 1. Left subtree: inorder[0..0]=[9], preorder[1..1]=[9]. Right subtree: inorder[2..4]=[15,20,7], preorder[2..4]=[20,15,7].
The brute-force approach
Recursively: preorder[0] is always the root. Find the root in inorder to split into left and right subtrees. Recurse on each half.
def build(pre_start, pre_end, in_start, in_end):
if pre_start > pre_end: return None
root_val = preorder[pre_start]
root = TreeNode(root_val)
idx = inorder.index(root_val) # linear search in inorder
left_size = idx - in_start
root.left = build(pre_start+1, pre_start+left_size, in_start, idx-1)
root.right = build(pre_start+left_size+1, pre_end, idx+1, in_end)
return rootO(n²) — linear search in inorder for each root. Precompute a hash map for O(n) total.
Spotting the pattern
This is a Tree Traversal problem. The key question to ask yourself:
If preorder[0] is the root, and you find its position in inorder, what does everything to its left in inorder represent? Everything to its right?
Answering that is where it clicks, and it's exactly what the guided walkthrough below builds with you: the pattern reasoning, a progressive hint ladder that never spoils the answer, a row-by-row dry run, the optimized solution, and an in-browser editor to run your code against real test cases.
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