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Which algorithmic pattern best fits this problem?

easy🔍 Pattern Recognition Q1 of Q15
Intervals - Car Pooling
You are given a list of trips, each with a number of passengers, a start location, and an end location. You need to determine if the car capacity is exceeded at any point during the trips. Which algorithmic pattern best fits this problem?
ABinary Search on sorted trip start times
BInterval Merging to find maximum overlapping intervals
CSweep Line / Event Processing to track passenger changes over locations
DDynamic Programming for subset sum of passenger counts
Step-by-Step Solution
Solution:
  1. Step 1: Understand problem requirements

    The problem requires tracking cumulative passenger counts over intervals and checking capacity constraints at any point.
  2. Step 2: Identify suitable pattern

    Sweep Line / Event Processing efficiently tracks incremental changes at start and end points, allowing capacity checks as we process events in order.
  3. Final Answer:

    Option C -> Option C
  4. Quick Check:

    Tracking incremental changes over intervals -> Sweep Line [OK]
Quick Trick: Track incremental changes at interval boundaries [OK]
Common Mistakes:
MISTAKES
  • Confusing with interval merging which merges intervals but doesn't track capacity
  • Using DP which is unnecessary here
Trap Explanation:
PITFALL
  • Candidates often pick interval merging because it deals with intervals, but it doesn't track cumulative capacity changes.
Interviewer Note:
CONTEXT
  • Tests candidate's ability to recognize interval event processing pattern.
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