Sub-exponential time

Sub-exponential time

In computational complexity theory, sub-exponential time algorithms are those that run in time greater than polynomial time ("super-polynomial time"), but less than exponential time. One example is the best-known, classical, algorithm for integer factorization, the general number field sieve, which runs in time about O(2^(log N)}^{1/3). These algorithms are considered to be computationally infeasible for larger inputs.


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