Almost everywhere high nonuniform complexity
Journal of Computer and System Sciences
The Complexity of Decision Versus Search
SIAM Journal on Computing
Measure, Stochasticity, and the Density of Hard Languages
SIAM Journal on Computing
Journal of Computer and System Sciences
Theoretical Computer Science
Almost every set in exponential time is P-bi-immune
Theoretical Computer Science
Cook versus Karp-Levin: separating completeness notions if NP is not small
Theoretical Computer Science
Resource bounded randomness and weakly complete problems
Theoretical Computer Science
The quantitative structure of exponential time
Complexity theory retrospective II
The zero-one law holds for BPP
Theoretical Computer Science
Separation of NP-Completeness Notions
SIAM Journal on Computing
In search of an easy witness: exponential time vs. probabilistic polynomial time
Journal of Computer and System Sciences - Complexity 2001
Pseudorandom generators, measure theory, and natural proofs
FOCS '95 Proceedings of the 36th Annual Symposium on Foundations of Computer Science
Dimension, entropy rates, and compression
Journal of Computer and System Sciences
Hardness hypotheses, derandomization, and circuit complexity
FSTTCS'04 Proceedings of the 24th international conference on Foundations of Software Technology and Theoretical Computer Science
Hi-index | 5.23 |
We consider resource-bounded measure in double-exponential-time complexity classes. In contrast to complexity class separation translating downwards, we show that measure separation translates upwards. For example, @m"p(NP)0@?@m"e(NE)0@?@m"e"x"p(NEXP)0. We also show that if NE does not have e-measure 0, then the NP-machine hypothesis holds. We give oracles relative to which the converses of these statements do not hold. Therefore the hypothesis on the e-measure of NE is relativizably weaker than the often-investigated p-measure hypothesis on NP, but it has many of the same consequences.