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Suppose the problem is extended so that queries are streaming (online) and intervals can be updated dynamically (added or removed). Which approach best adapts to this variant?

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Intervals - Minimum Interval to Include Each Query
Suppose the problem is extended so that queries are streaming (online) and intervals can be updated dynamically (added or removed). Which approach best adapts to this variant?
ABinary search with preprocessing intervals by length
BSegment tree or interval tree data structure for dynamic interval queries
CBrute force checking all intervals per query
DSorting intervals and queries offline with min-heap
Step-by-Step Solution
Solution:
  1. Step 1: Understand problem extension

    Queries arrive online and intervals can be added or removed dynamically.
  2. Step 2: Evaluate approaches

    Binary search and offline sorting approaches require static data, unsuitable for dynamic updates.
  3. Step 3: Identify suitable data structure

    Segment trees or interval trees support dynamic interval insertion/removal and efficient query coverage checks.
  4. Final Answer:

    Option B -> Option B
  5. Quick Check:

    Dynamic interval queries require data structures supporting updates [OK]
Quick Trick: Dynamic queries require interval trees or segment trees [OK]
Common Mistakes:
MISTAKES
  • Trying to adapt offline approaches to online dynamic data
Trap Explanation:
PITFALL
  • Candidates often try to reuse offline sorting or binary search approaches, which fail with dynamic updates.
Interviewer Note:
CONTEXT
  • Tests candidate's ability to adapt to dynamic data and choose advanced data structures
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