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What is the time complexity of the optimal greedy solution using prefix sums and two pointers for the Gas Station (Circular) problem, given n stations?

medium🪤 Complexity Trap Q13 of Q15
Greedy Algorithms - Gas Station (Circular)
What is the time complexity of the optimal greedy solution using prefix sums and two pointers for the Gas Station (Circular) problem, given n stations?
AO(n²) because of nested loops over stations
BO(n log n) due to sorting or binary search in prefix sums
CO(n) because prefix sums allow constant time range queries and a single pass
DO(n) but with O(n) extra space for prefix sums
Step-by-Step Solution
Solution:
  1. Step 1: Analyze prefix sums computation

    Computing prefix sums takes O(2n) = O(n) time.
  2. Step 2: Analyze the single pass check

    The loop checking prefix[i+n] - prefix[i] runs n times, each in O(1), total O(n).
  3. Final Answer:

    Option C -> Option C
  4. Quick Check:

    Single pass with prefix sums yields linear time [OK]
Quick Trick: Prefix sums enable O(1) range queries, total O(n) time [OK]
Common Mistakes:
MISTAKES
  • Assuming nested loops cause O(n²)
  • Thinking sorting is needed
  • Confusing space with time complexity
Trap Explanation:
PITFALL
  • The presence of prefix sums and a single loop misleads candidates to think it's O(n²) or O(n log n).
Interviewer Note:
CONTEXT
  • Checks if candidate understands how prefix sums optimize range queries and overall complexity.
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