Optimize flattening for in-place

Last updated: January 14, 2026

Quick Overview

Given a nested list of integers, implement a function to flatten the list in-place, ensuring that the original structure is modified without using additional space. The function should take a list as input and return the flattened list, where all integers are in a single list in the order they were encountered.

LinkedIn
Coding & Algorithms
Machine Learning Engineer
LinkedIn
January 14, 2026
Machine Learning Engineer
Onsite
Coding & Algorithms
Easy

33

10

395 solved


Given a nested list of integers, implement a function to flatten the list in-place, ensuring that the original structure is modified without using additional space. The function should take a list as input and return the flattened list, where all integers are in a single list in the order they were encountered.

This coding problem is frequently asked during Onsite at LinkedIn. The interviewer is testing your ability to translate a problem into clean, working code while discussing time and space complexity. LinkedIn expects candidates to write production-quality code, not just solve the puzzle.

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
Common algorithm patterns (sliding window, two pointers, BFS/DFS)
Dynamic programming and memoization
Sorting and searching
Binary search and divide and conquer
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
  • What happens if the input contains duplicates?
  • How would your solution change if the input was sorted?
  • Can you solve this iteratively instead of recursively (or vice versa)?
  • What is the worst-case input for your solution?
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Sample Answer
Problem Analysis

This problem requires us to flatten a nested list of integers in-place. The key challenge is to modify the original structure without using additional space. A suitable approach here is to use a **dep...

Approach
  1. Initialize an index pointer that will help us keep track of where to place the next integer in the flattened list.
  2. Iterate through the input list. For each element, if it is an integer...

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