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Suppose employees' schedules include intervals with real-number start and end times (e.g., [1.5, 3.7]). How does this affect the approach to find Employee Free Time?

hard🎤 Interviewer Follow-up Q10 of Q15
Intervals - Employee Free Time
Suppose employees' schedules include intervals with real-number start and end times (e.g., [1.5, 3.7]). How does this affect the approach to find Employee Free Time?
ABrute force approach is the only reliable method for real-number intervals
BSweep line approach fails because sorting floating points is unstable
CSweep line approach still works but requires careful handling of floating point comparisons
DSorting and merging intervals becomes impossible due to precision errors
Step-by-Step Solution
Solution:
  1. Step 1: Recognize floating point intervals can cause precision and equality comparison issues

    Sorting and event processing rely on exact comparisons, which may fail with floating points.
  2. Step 2: Brute force approach checks all time points explicitly, avoiding precision pitfalls

    Brute force enumerates timeline points, so it can handle real numbers by discretization or tolerance.
  3. Final Answer:

    Option A -> Option A
  4. Quick Check:

    Brute force is more robust for real-number intervals despite inefficiency [OK]
Quick Trick: Floating point precision breaks sorting-based methods [OK]
Common Mistakes:
MISTAKES
  • Assuming sweep line works unchanged with floating points
Trap Explanation:
PITFALL
  • Candidates underestimate floating point comparison issues in event sorting.
Interviewer Note:
CONTEXT
  • Tests candidate's ability to adapt algorithms to numeric edge cases.
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