Solution: Recover a Tree From Preorder Traversal
Explore how to recover a binary tree from its preorder traversal representation including depth information. Understand the DFS approach to parse the traversal string, reconstruct tree nodes by matching expected depths, and efficiently build the tree with recursive calls. This lesson helps you implement and analyze an O(n) time complexity algorithm for tree reconstruction.
We'll cover the following...
Statement
We perform a preorder depth-first traversal on a binary tree starting from its root.
For each node, we first write D dashes, where D is the depth of the node in the tree, followed by the node’s integer value.
The root node has depth 0.
If a node is at depth D, its children (if any) will appear at depth D + 1.
If a node has only one child, it will always be the left child.
You are given the string representation of this traversal. Your task is to reconstruct the original binary tree and return its root.
Constraints:
The number of nodes in the original binary tree lies within the range
...