Average case complete problems
SIAM Journal on Computing
Journal of Computer and System Sciences
Average case complexity under the universal distribution equals worst-case complexity
Information Processing Letters
On the theory of average case complexity
Journal of Computer and System Sciences
On the NP-isomorphism problem with respect to random instances
Journal of Computer and System Sciences
Some properties of sets tractable under every polynomial-time computable distribution
Information Processing Letters
Universal distributions and time-bounded kolmogorov complexity
STACS'99 Proceedings of the 16th annual conference on Theoretical aspects of computer science
Hi-index | 0.00 |
Polynomial-time computable as well as polynomial-time samplable distributions play a central role in the theory of average-case complexity. It is known that for every constant k there are polynomial-time samplable distributions which dominate every distribution that is samplable in time O(n^k). The result is based on the fact that there exists an enumeration of the O(n^k)-time samplable distributions. No such enumeration is known for the polynomial-time computable distributions. In this note we show that nevertheless for every constant k there are polynomial-time computable distributions which dominate every distribution that is computable in time O(n^k). Both results imply that a paddable set is polynomial-time on average under every polynomial-time samplable (polynomial-time computable) distribution if the set is polynomial time on average under a fixed polynomial-time samplable (polynomial-time computable) distribution. This is not true for sets in general, in particular there is no universal distribution for the set of polynomial-time computable distributions.