On limited nondeterminism and the complexity of the V-C dimension

Abstract

We characterize precisely the complexity of several natural computational problems in NP, which have been proposed but not categorized satisfactorily in the literature: Computing the Vapnik-Chervonenkis dimension of a 0-1 matrix; finding the minimum dominating set of a tournament; satisfying a Boolean expression by perturbing the default truth assignment; and several others. These problems can be solved in no(log n) time, and thus, they are probably not NP-complete. We define two new complexity classes between P and NP, very much in the spirit of MAXNP and MAXSNP. We show that computing the V-C dimension is complete for the more general class, while the other two problems are complete for the weaker class. © 1996 Academic Press, Inc.