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(Solved): Determine the big-O notation for the following algorithm. \( O(n \log (n)) \) \( O(\log (n)) \) \( ...


Determine the big-O notation for the following algorithm. \( O(n \log (n)) \) \( O(\log (n)) \) \( O(n) \) \( O\left(n^{2}\ri

Determine the big-O notation for the following algorithm. \( O(n \log (n)) \) \( O(\log (n)) \) \( O(n) \) \( O\left(n^{2}\right) \)


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Solution: O(n log(n)). Explanation: The amount of time that it takes to execute an algorithm as a function of the size of the input data is referred to as the algorithm's temporal complexity. In the example presented above, the temporal complexity is
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