Note that in analysis of algorithms, time complexity is typically measured in te

Question

Note that in analysis of algorithms, time complexity is typically measured in terms of the size of the input and not the input values. If n is a single number, then its binary string representation can be represented using approximately m bits (the size of the input), where m = log_2(n). Therefore, the maximum value than can be expressed in m bits is n = O(exp(m)). In terms of m, what is the closest-fit worst-case time complexity of following algorithm? f(n){ if (n < 2) return 1 else return f(n

Explanation / Answer

c. O(exp(m)).

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