Greedy on string

Last updated: November 22, 2025

Quick Overview

Given a string, implement a greedy algorithm to determine the longest substring that can be formed by removing at most one character. The function should return the length of this substring. For example, given the input "abca", the output should be 3, as removing 'b' or 'c' results in the valid substrings "aca" or "aba".

Compass
Coding & Algorithms
Software Engineer
Compass
November 22, 2025
Software Engineer
Onsite
Coding & Algorithms
Medium

35

11

2,669 solved


Given a string, implement a greedy algorithm to determine the longest substring that can be formed by removing at most one character. The function should return the length of this substring. For example, given the input "abca", the output should be 3, as removing 'b' or 'c' results in the valid substrings "aca" or "aba".

Coding interviews at Compass 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
  • 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
Sorting and searching
Binary search and divide and conquer
Common algorithm patterns (sliding window, two pointers, BFS/DFS)
Graph algorithms and traversal
Time and space complexity analysis
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
  • What happens if the input contains duplicates?
  • What is the worst-case input for your solution?
  • Can you solve this in a single pass?
  • How would you modify your solution to handle streaming input?
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Sample Answer
Problem Analysis

To solve the problem of finding the longest substring that can be formed by removing at most one character, we can utilize the two pointers technique. This approach is applicable here because we n...

Approach
  1. Initialize two pointers, left at the start of the string and right at the end.
  2. Move the left pointer to the right until characters at the left and right pointers do not match. If a mis...

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