The CLP( R ) language and system
ACM Transactions on Programming Languages and Systems (TOPLAS)
Scaling Effects in the CSP Phase Transition
CP '95 Proceedings of the First International Conference on Principles and Practice of Constraint Programming
HYTECH: A Model Checker for Hybrid Systems
CAV '97 Proceedings of the 9th International Conference on Computer Aided Verification
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
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One of the most important problems in the polynomial class is checking the satisfiabilityof systems of linear inequalities over the rationals. In this paper, we investigate the phase-transition behavior of this problem byadopting a methodologywhic h has been proved verysuccessful on NP-complete problems. The methodologyis based on the concept of constrainedness, which characterizes an ensemble of randomly generated problems and allows to predict the location of the phase transition in solving such problems. Our work complements and confirms previous results obtained for other polynomial problems. The approach provides a new characterization of the performance of the Phase I of the Simplex algorithm and allows us to predict its behavior on verylarge instances byexploiting the technique of finite size scaling.