Daily Temperatures

Algorithms
Medium
Airbnb
63.4K views

Given an array of temperatures, return an array such that `answer[i]` is the number of days you have to wait after day $i$ to get a warmer temperature. Use a Monotonic Stack.

Why Interviewers Ask This

Airbnb asks this to evaluate your mastery of stack-based optimizations for time-sensitive problems. They specifically test if you can identify the O(n^2) brute-force trap and pivot to a Monotonic Stack solution, demonstrating your ability to optimize algorithms for real-world scalability where data volume is high.

How to Answer This Question

1. Clarify requirements: Confirm input constraints like array length and temperature ranges to determine edge cases. 2. Analyze complexity: Explicitly state that a nested loop approach yields O(n^2), which is inefficient for large datasets Airbnb handles daily. 3. Propose the pattern: Introduce the Monotonic Decreasing Stack concept as the optimal strategy to track indices of pending warmer days. 4. Walk through logic: Explain iterating backward or forward while popping elements smaller than current temperatures to find the nearest greater value. 5. Implement with comments: Write clean code focusing on index management and boundary checks, verbalizing each step to show your thought process clearly.

Key Points to Cover

  • Identifying the O(n^2) brute force limitation immediately
  • Correctly implementing a Monotonic Decreasing Stack
  • Explaining the logic of popping indices based on temperature comparison
  • Handling edge cases where no warmer day exists
  • Achieving optimal O(n) time and space complexity

Sample Answer

I would start by acknowledging that a naive solution using nested loops results in O(n^2) time complexity, which isn't ideal for processing large streams of weather data efficiently. Instead, I propose using a Monotonic…

Common Mistakes to Avoid

  • Using nested loops resulting in Time Limit Exceeded errors on large inputs
  • Confusing the stack with storing values instead of indices, losing date context
  • Forgetting to initialize the answer array with zeros for unprocessed days
  • Incorrectly calculating the distance between current index and stack top

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