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When is approach 1 preferable over approach 2?

hard⚖️ Approach Comparison Q8 of Q15
Intervals - Count of Intervals Containing Each Point
Consider two approaches to count intervals containing each point: 1) Sorting intervals and points, then using binary search to count intervals starting before and ending after each point. 2) Using a line sweep algorithm with event sorting. When is approach 1 preferable over approach 2?
AWhen the number of points m is much larger than intervals n
BWhen memory is limited and auxiliary space must be minimized
CWhen intervals are very large and points are few
DWhen intervals and points are both very large and need fastest runtime
Step-by-Step Solution
Solution:
  1. Step 1: Compare space usage

    Binary search approach stores only sorted starts and ends arrays, using less auxiliary space than line sweep's event list.
  2. Step 2: Trade-off analysis

    Line sweep uses more space for events but can be faster; binary search uses less space but may be slower for large m.
  3. Final Answer:

    Option B -> Option B
  4. Quick Check:

    Binary search approach is better when memory is constrained [OK]
Quick Trick: Binary search uses less auxiliary space than line sweep [OK]
Common Mistakes:
MISTAKES
  • Assuming binary search is always faster
  • Ignoring space complexity differences
  • Confusing when to use each approach
Trap Explanation:
PITFALL
  • Candidates often overlook space trade-offs and pick binary search for speed only.
Interviewer Note:
CONTEXT
  • Tests understanding of trade-offs between time and space in interval counting approaches.
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