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You are given a list of meeting intervals with start and end times. Which algorithmic pattern best solves the problem of determining if a person can attend all meetings without overlaps?

easy🔍 Pattern Recognition Q1 of Q15
Intervals - Meeting Rooms I
You are given a list of meeting intervals with start and end times. Which algorithmic pattern best solves the problem of determining if a person can attend all meetings without overlaps?
ASorting intervals by start time followed by a single pass to check for overlaps
BBacktracking to try all possible meeting attendance orders
CGreedy selection of intervals based on earliest start time without sorting
DDynamic Programming with interval sums to maximize total meeting time
Step-by-Step Solution
Solution:
  1. Step 1: Identify the problem requirement

    The problem requires checking if any intervals overlap, which is efficiently done by sorting intervals by start time.
  2. Step 2: Apply a single pass overlap check

    After sorting, iterate through intervals and verify if the current interval's start is before the previous interval's end, indicating overlap.
  3. Final Answer:

    Option A -> Option A
  4. Quick Check:

    Sorting + single pass is standard for overlap detection [OK]
Quick Trick: Sort by start, then check overlaps in one pass [OK]
Common Mistakes:
MISTAKES
  • Trying to maximize meeting time instead of checking overlaps
  • Using backtracking unnecessarily
  • Ignoring sorting step
Trap Explanation:
PITFALL
  • Candidates often confuse interval sum or scheduling maximization with simple overlap detection, leading to wrong pattern choice.
Interviewer Note:
CONTEXT
  • Tests candidate's ability to recognize interval overlap detection pattern.
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