Greedy on string

Last updated: May 14, 2026

Quick Overview

Given a string consisting of lowercase letters, your task is to rearrange the characters in such a way that no two adjacent characters are the same. Implement a function that returns the rearranged string if possible, or an empty string if it is not feasible. The function should handle edge cases and ensure optimal performance, adhering to a greedy algorithm approach.

Elastic
Coding & Algorithms
Software Engineer
Elastic
May 14, 2026
Software Engineer
Technical Screen
Coding & Algorithms
Hard

31

13

2,575 solved


Given a string consisting of lowercase letters, your task is to rearrange the characters in such a way that no two adjacent characters are the same. Implement a function that returns the rearranged string if possible, or an empty string if it is not feasible. The function should handle edge cases and ensure optimal performance, adhering to a greedy algorithm approach.

Elastic 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
Graph algorithms and traversal
Sorting and searching
Common algorithm patterns (sliding window, two pointers, BFS/DFS)
Data structure selection and trade-offs
Tree structures and recursion
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 iteratively instead of recursively (or vice versa)?
  • How would you test this solution thoroughly?
  • What is the worst-case input for your solution?
  • How would you modify your solution to handle streaming input?
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Sample Answer
Problem Analysis

To solve the problem of rearranging characters in a string such that no two adjacent characters are the same, we can recognize that this is a greedy algorithm problem. The primary pattern we can apply...

Approach
  1. Count Character Frequencies: Use a frequency counter (like a dictionary) to count how many times each character appears in the string.
  2. Max-Heap Creation: Insert all characters into a max...

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