Optimize traversal for without recursion

Last updated: January 31, 2026

Quick Overview

Given a binary tree, implement a function to traverse the tree in pre-order without using recursion or a stack. Your solution should return the values of the nodes in a list, maintaining the order of traversal. Ensure that your implementation operates within O(n) time complexity, where n is the number of nodes in the tree.

Rippling
Coding & Algorithms
Machine Learning Engineer
Rippling
January 31, 2026
Machine Learning Engineer
Technical Screen
Coding & Algorithms
Hard

252

8

2,616 solved


Given a binary tree, implement a function to traverse the tree in pre-order without using recursion or a stack. Your solution should return the values of the nodes in a list, maintaining the order of traversal. Ensure that your implementation operates within O(n) time complexity, where n is the number of nodes in the tree.

Rippling uses this problem in the Technical Screen to evaluate your algorithmic thinking. They expect you to discuss multiple approaches, analyze trade-offs between them, and implement the optimal solution with clean, readable code.

What the Interviewer Expects
  • Quickly identify the optimal approach and its theoretical basis
  • Handle complex algorithm design with multiple interacting components
  • Write concise, elegant code under time pressure
  • Prove correctness of your approach and discuss alternative solutions
  • Optimize beyond the obvious: discuss constant factor improvements
  • Address follow-up variations and explain how the solution generalizes
Key Topics to Cover
Tree structures and recursion
Edge cases and input validation
Data structure selection and trade-offs
Hash maps and frequency counting
How to Approach This
  1. Clarify input constraints and edge cases before writing code.
  2. Walk through your approach verbally and confirm with the interviewer before coding.
  3. Start with a brute force solution, then optimize. Mention time and space complexity.
  4. Test your solution with examples, including edge cases like empty input or duplicates.
  5. Consider common patterns: sliding window, two pointers, hash map, BFS/DFS, dynamic programming.
Possible Follow-up Questions
  • Can you solve this in a single pass?
  • How would you modify your solution to handle streaming input?
  • How would your solution change if the input was sorted?
  • Can you optimize the space complexity of your solution?
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Sample Answer
Problem Analysis

This problem requires us to perform a pre-order traversal of a binary tree without using recursion or a stack. The pre-order traversal visits nodes in the order: root, left, right. Since we cannot use...

Approach
  1. Start at the root of the tree.
  2. While the current node is not null:
    • If the current node has no left child, visit the node (add its value to the result list) and move to the right child. ...

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