Compute max events in any 60-second window
Problem Description
Design a function that takes a non-decreasing list of integer timestamps, representing event occurrences in seconds. The function should return the maximum number of events that occur within any contiguous 60-second window.
Constraints
- The input list of timestamps is guaranteed to be sorted in non-decreasing order.
- The solution must achieve an optimal time complexity of O(n), where n is the number of timestamps.
- The solution must achieve an optimal space complexity of O(1) extra space.
AI interview prep
Core dilemma
Efficiently counting events within a moving time window while strictly adhering to O(N) time and O(1) extra space complexity, especially with potentially large datasets.
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Interview prep
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Compute max events in any 60-second window
Problem Description
Design a function that takes a non-decreasing list of integer timestamps, representing event occurrences in seconds. The function should return the maximum number of events that occur within any contiguous 60-second window.
Constraints
- The input list of timestamps is guaranteed to be sorted in non-decreasing order.
- The solution must achieve an optimal time complexity of O(n), where n is the number of timestamps.
- The solution must achieve an optimal space complexity of O(1) extra space.