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In the Gas Station (Circular) problem, if you implement the optimal greedy solution by iterating through the stations once and updating the start position when the current tank becomes negative, what is the overall time complexity for n stations?

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Greedy Algorithms - Gas Station (Circular)
In the Gas Station (Circular) problem, if you implement the optimal greedy solution by iterating through the stations once and updating the start position when the current tank becomes negative, what is the overall time complexity for n stations?
AO(n log n)
BO(n)
CO(n²)
DO(log n)
Step-by-Step Solution
Solution:
  1. Step 1: Understand the greedy approach

    The algorithm iterates through the gas stations once, maintaining a running tank balance.
  2. Step 2: Reset start index when tank is negative

    When the tank drops below zero, the start index is moved to the next station, and the tank is reset.
  3. Step 3: Single pass through stations

    Each station is visited at most twice (once in the main loop and once when resetting), resulting in linear time complexity.
  4. Final Answer:

    Option B -> Option B
  5. Quick Check:

    Single pass with resets means linear time [OK]
Quick Trick: Single pass with resets yields O(n) time complexity [OK]
Common Mistakes:
MISTAKES
  • Assuming nested loops cause O(n²) complexity
  • Confusing prefix sums approach with sorting
  • Thinking resetting start index causes multiple full passes
Trap Explanation:
PITFALL
  • Incorrectly assuming multiple resets cause quadratic time, but resets only move forward.
Interviewer Note:
CONTEXT
  • Tests understanding of greedy approach efficiency and time complexity analysis.
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