Find longest subsequence in binary tree

Last updated: April 13, 2026

Quick Overview

Given a binary tree, write a function to find the longest subsequence of nodes where each node's value is greater than its parent node's value. The function should return the length of this longest increasing subsequence. The input will be the root node of the binary tree, and the output should be an integer representing the length of the longest subsequence.

Compass
Coding & Algorithms
Machine Learning Engineer
Compass
April 13, 2026
Machine Learning Engineer
Technical Screen
Coding & Algorithms
Medium

31

10

462 solved


Given a binary tree, write a function to find the longest subsequence of nodes where each node's value is greater than its parent node's value. The function should return the length of this longest increasing subsequence. The input will be the root node of the binary tree, and the output should be an integer representing the length of the longest subsequence.

Compass 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
  • Recognize the underlying problem pattern (sliding window, two pointers, BFS/DFS, etc.)
  • Discuss multiple approaches and trade-offs before coding
  • Implement an optimal solution with clean, production-quality code
  • Handle all edge cases including boundary conditions and invalid input
  • Optimize both time and space complexity with clear justification
  • Test your solution systematically with well-chosen examples
Key Topics to Cover
Graph algorithms and traversal
Time and space complexity analysis
Hash maps and frequency counting
Common algorithm patterns (sliding window, two pointers, BFS/DFS)
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 optimize the space complexity of your solution?
  • How would you test this solution thoroughly?
  • Can you solve this iteratively instead of recursively (or vice versa)?
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Sample Answer
Problem Analysis

In this problem, we're tasked with finding the longest increasing subsequence in a binary tree, where each node's value must be greater than its parent's value. This is a tree traversal problem, and D...

Approach
  1. DFS Traversal: We will perform a DFS traversal starting from the root node. For each node, we'll compare its value with its parent's value. If the current node's value is greater, we can extend...

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