The time complexity of the backtrack algorithm is typically exponential, O(2n), where n is the size of the problem.
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The time complexity of the algorithm is superpolynomial.
The time complexity of an algorithm with a running time of nlogn is O(nlogn).
The time complexity of the algorithm is O(log n).
The time complexity of an algorithm with a factorial time complexity of O(n!) is O(n!).
The time complexity of the Strassen algorithm for matrix multiplication is O(n2.81).