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What is the worst-case time complexity of inserting a new number into the data structure maintaining disjoint intervals using a balanced binary search tree with n intervals?

medium📊 Complexity Q5 of Q15
Intervals - Data Stream as Disjoint Intervals
What is the worst-case time complexity of inserting a new number into the data structure maintaining disjoint intervals using a balanced binary search tree with n intervals?
AO(n)
BO(log n)
CO(n log n)
DO(1)
Step-by-Step Solution
Solution:
  1. Step 1: Understand operations

    Insertion requires searching and possibly merging intervals.
  2. Step 2: Balanced BST complexity

    Search and insert operations take O(log n).
  3. Step 3: Merging intervals

    Merging adjacent intervals is O(1) or constant time per merge.
  4. Final Answer:

    Option B -> Option B
  5. Quick Check:

    Balanced BST insertion/search is logarithmic [OK]
Quick Trick: Balanced BST insertion/search is O(log n) [OK]
Common Mistakes:
MISTAKES
  • Assuming linear time due to merges (merges are constant time)
  • Confusing with rebuilding intervals from scratch
Trap Explanation:
PITFALL
  • Merging intervals is often constant time, not linear.
Interviewer Note:
CONTEXT
  • Tests knowledge of time complexity for balanced tree operations.
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