ELEMENTARY
In computational complexity theory, the complexity class consists of the decision problems that can be solved in time bounded by an elementary recursive function. The most quickly-growing elementary functions are obtained by iterating an exponential function such as for a bounded number of iterations,
Thus, is the union of the classes
It is sometimes described as iterated exponential time,[1] though this term more commonly refers to time bounded by the tetration function.[2]
This complexity class can be characterized by a certain class of "iterated stack automata", pushdown automata that can store the entire state of a lower-order iterated stack automaton in each cell of their stack. These automata can compute every language in , and cannot compute languages beyond this complexity class.[3] The time hierarchy theorem implies that has no complete problems.
Every elementary recursive function can be computed in a time bound of this form, and therefore every decision problem whose calculation uses only elementary recursive functions belongs to the complexity class .
References
- ^ "ELEMENTARY", Complexity Zoo, retrieved 2024-11-03
- ^ Friedman, Harvey (1999), "Some decision problems of enormous complexity" (PDF), 14th Annual IEEE Symposium on Logic in Computer Science, Trento, Italy, July 2-5, 1999, {IEEE} Computer Society, pp. 2–12, doi:10.1109/LICS.1999.782577, ISBN 0-7695-0158-3, MR 1942515
- ^ Engelfriet, Joost (1991), "Iterated stack automata and complexity classes", Information and Computation, 95 (1): 21–75, doi:10.1016/0890-5401(91)90015-T, MR 1133778