The complexity of sparse sets in P
Proc. of the conference on Structure in complexity theory
NP is as easy as detecting unique solutions
Theoretical Computer Science
Counting classes: thresholds, parity, mods, and fewness
STACS 90 Proceedings of the seventh annual symposium on Theoretical aspects of computer science
Relations between communication complexity classes
Journal of Computer and System Sciences - 3rd Annual Conference on Structure in Complexity Theory, June 14–17, 1988
Multicolored forests in bipartite decompositions of graphs
Journal of Combinatorial Theory Series B
Communication complexity and combinatorial lattice theory
Journal of Computer and System Sciences
Las Vegas is better than determinism in VLSI and distributed computing (Extended Abstract)
STOC '82 Proceedings of the fourteenth annual ACM symposium on Theory of computing
Some complexity questions related to distributive computing(Preliminary Report)
STOC '79 Proceedings of the eleventh annual ACM symposium on Theory of computing
On notions of information transfer in VLSI circuits
STOC '83 Proceedings of the fifteenth annual ACM symposium on Theory of computing
Complexity classes in communication complexity theory
SFCS '86 Proceedings of the 27th Annual Symposium on Foundations of Computer Science
Communication complexity method for measuring nondeterminism in finite automata
Information and Computation
Measures of Nondeterminism in Finite Automata
ICALP '00 Proceedings of the 27th International Colloquium on Automata, Languages and Programming
On the power of nondeterminism and Las Vegas randomization for two-dimensional finite automata
Journal of Computer and System Sciences
On relations between counting communication complexity classes
Journal of Computer and System Sciences
A strong direct product theorem for disjointness
Proceedings of the forty-second ACM symposium on Theory of computing
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We study non-deterministic communication protocols in which no input has too many witnesses. Define n"k(f) to be the minimum complexity of a non-deterministic protocol for the function f in which each input has at most k witnesses. We present two different lower bounds for n"k(f). Our first result shows that n"k(f) is below by @W(@/c(f)/k), where c(f) is the deterministic complexity. Our second results bounds n"k(f) by log(rk(M"f))/k - 1, where rk(M"f) is the rank of the representing matrix of f. As a consequence, it follows that the communication complexity analogue of the Turing-complexity class FewP is equal to the analogue of the class P.