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You are given a list of intervals representing booked meeting times. Which algorithmic pattern is best suited to combine all overlapping intervals into a list of non-overlapping intervals?

easy🔍 Pattern Recognition Q1 of Q15
Intervals - Merge Intervals
You are given a list of intervals representing booked meeting times. Which algorithmic pattern is best suited to combine all overlapping intervals into a list of non-overlapping intervals?
ASorting intervals by start time followed by a single pass merge
BDynamic Programming with memoization to track overlapping subproblems
CGreedy interval scheduling to select maximum non-overlapping intervals
DBacktracking to explore all possible merges
Step-by-Step Solution
Solution:
  1. Step 1: Identify the problem goal

    The problem requires merging overlapping intervals into non-overlapping ones, which suggests combining intervals based on their start and end times.
  2. Step 2: Recognize the suitable pattern

    Sorting intervals by their start time allows a linear scan to merge overlapping intervals efficiently, which is the hallmark of the sorting + one pass merge pattern.
  3. Final Answer:

    Option A -> Option A
  4. Quick Check:

    Sorting + one pass merge is the canonical approach for merging intervals [OK]
Quick Trick: Sort intervals by start, then merge in one pass [OK]
Common Mistakes:
MISTAKES
  • Confusing with interval scheduling pattern
  • Trying DP unnecessarily
Trap Explanation:
PITFALL
  • Candidates often confuse merging intervals with interval scheduling, which selects max non-overlapping intervals rather than merging.
Interviewer Note:
CONTEXT
  • Tests candidate's ability to recognize the correct pattern from problem description.
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