Michael Ray, Yves C. Martin
Proceedings of SPIE - The International Society for Optical Engineering
Set constraints are relations between sets of terms. They have been used extensively in various applications in program analysis and type inference. Recently, several algorithms for solving general systems of positive set constraints have appeared. In this paper we consider systems of mixed positive and negative constraints, which are considerably more expressive than positive constraints alone. We show that it is decidable whether a given such system has a solution. The proof involves a reduction to a number-theoretic decision problem that may be of independent interest. © 1995 Academic Press, Inc.
Michael Ray, Yves C. Martin
Proceedings of SPIE - The International Society for Optical Engineering
Joel L. Wolf, Mark S. Squillante, et al.
IEEE Transactions on Knowledge and Data Engineering
Daniel M. Bikel, Vittorio Castelli
ACL 2008
Michael C. McCord, Violetta Cavalli-Sforza
ACL 2007