Find minimum cost in linked list

Last updated: October 12, 2025

Quick Overview

Given a array, find the shortest distance efficiently using Greedy.

Stripe
Coding & Algorithms
Machine Learning Engineer
Stripe
October 12, 2025
Machine Learning Engineer
Phone Screen
Coding & Algorithms
Medium

50

11

971 solved


Given a array, find the shortest distance efficiently using Greedy.

Coding interviews at Stripe 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
Hash maps and frequency counting
Edge cases and input validation
Time and space complexity analysis
Data structure selection and trade-offs
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 parallelize this solution?
  • Can you solve this in a single pass?
  • How would you modify your solution to handle streaming input?
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