Merge Two Sorted binary trees

Last updated: June 13, 2026

Quick Overview

Given three sorted interval lists, merge them into a single sorted result.

NVIDIA
Coding & Algorithms
Machine Learning Engineer
NVIDIA
June 13, 2026
Machine Learning Engineer
Take-home Project
Coding & Algorithms
Easy

358

11

4,471 solved


Given three sorted interval lists, merge them into a single sorted result.

Coding interviews at NVIDIA focus on problem-solving approach as much as the final solution. The interviewer wants to see you break down the problem, consider edge cases, and optimize iteratively. Communication throughout the process is key.

What the Interviewer Expects
  • Identify the correct data structure and algorithm for the problem
  • Write clean, bug-free code with proper variable naming
  • Analyze time and space complexity correctly
  • Handle basic edge cases (empty input, single element)
  • Communicate your thought process while coding
Key Topics to Cover
Binary search and divide and conquer
Hash maps and frequency counting
Graph algorithms and traversal
Time and space complexity analysis
Edge cases and input validation
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 parallelize this solution?
  • Can you optimize the space complexity of your solution?
  • What is the worst-case input for your solution?
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Practice DSA Problems
Sample Answer
Problem Analysis

Start by understanding the input/output format and constraints. Identify the core problem pattern. Ask clarifying questions: Is the input sorted? Can ...

Brute Force Approach

Always start with the simplest correct solution, even if it's not optimal. This shows you can solve the problem and gives you a baseline to optimize f...


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