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Amortized time complexity
The motivation for amortized analysis is that looking at the worst-case run time per operation, rather than per algorithm, can be too pessimistic
Master theorem
T(N) = O(N) + T(0) + T(N-1) = O(N ^ 2) T(N) = O(N) + 2T(N/2) = O(N * LogN)
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