Abstract
We consider feasibility of linear integer programs in the context of verification systems such as SMT solvers or theorem provers. Although satisfiability of linear integer programs is decidable, many state-of-the-art solvers neglect termination in favor of efficiency. It is challenging to design a solver that is both terminating and practically efficient. Recent work by Jovanović and de Moura constitutes an important step into this direction. Their algorithm CUTSAT is sound, but does not terminate, in general. In this paper we extend their CUTSAT algorithm by refined inference rules, a new type of conflicting core, and a dedicated rule application strategy. This leads to our algorithm CUTSAT++, which guarantees termination.
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Notes
- 1.
The restrictions to maximal variables in the definition of conflicting cores and to the Solve-Div rule were both confirmed as missing but necessary in a private communication with Jovanović.
- 2.
As recommended in [8], CUTSAT++ uses the same slack variable for all Slack-Intro applications.
References
Barrett, C.W., Nieuwenhuis, R., Oliveras, A., Tinelli, C.: Splitting on demand in SAT modulo theories. In: Hermann, M., Voronkov, A. (eds.) LPAR 2006. LNCS (LNAI), vol. 4246, pp. 512–526. Springer, Heidelberg (2006)
Bromberger, M., Sturm, T., Weidenbach, C.: Linear integer arithmetic revisited. ArXiv e-prints, abs/1503.02948 (2015)
Cooper, D.C.: Theorem proving in arithmetic without multiplication. In: Meltzer, B., Michie, D. (eds.) 1971 Proceedings of the Seventh Annual Machine Intelligence Workshop, Edinburgh. Machine Intelligence, vol. 7, pp. 91–99. Edinburgh University Press (1972)
Dillig, I., Dillig, T., Aiken, A.: Cuts from proofs: a complete and practical technique for solving linear inequalities over integers. In: Bouajjani, A., Maler, O. (eds.) CAV 2009. LNCS, vol. 5643, pp. 233–247. Springer, Heidelberg (2009)
Fietzke, A., Weidenbach, C.: Superposition as a decision procedure for timed automata. Math. Comput. Sci. 6(4), 409–425 (2012)
Fischer, M.J., Rabin, M.: Super-exponential complexity of Presburger arithmetic. SIAM-AMS Proc. 7, 27–41 (1974)
Griggio, A.: A practical approach to satisability modulo linear integer arithmetic. JSAT 8(1/2), 1–27 (2012)
Jovanović, D., de Moura, L.: Cutting to the chase. J. Autom. Reasoning 51(1), 79–108 (2013)
Jünger, M., Liebling, T.M., Naddef, D., Nemhauser, G.L., Pulleyblank, W.R., Reinelt, G., Rinaldi, G., Wolsey, L.A. (eds.): 50 Years of Integer Programming 1958–2008. Springer, Heidelberg (2010)
Lasaruk, A., Sturm, T.: Weak quantifier elimination for the full linear theory of the integers. A uniform generalization of Presburger arithmetic. Appl. Algebra Eng. Commun. Comput. 18(6), 545–574 (2007)
Papadimitriou, C.H.: On the complexity of integer programming. J. ACM 28(4), 765–768 (1981)
Presburger, M.: Über die Vollständigkeit eines gewissen Systems der Arithmetik ganzer Zahlen. welchem die Addition als einzige Operation hervortritt. In: Comptes Rendus du premier congres de Mathematiciens des Pays Slaves, pp. 92–101. Warsaw, Poland (1929)
Weispfenning, V.: The complexity of almost linear diophantine problems. J. Symb. Comput. 10(5), 395–403 (1990)
Acknowledgments
This research was supported in part by the German Transregional Collaborative Research Center SFB/TR 14 AVACS and by the ANR/DFG project STU 483/2-1 SMArT.
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Bromberger, M., Sturm, T., Weidenbach, C. (2015). Linear Integer Arithmetic Revisited. In: Felty, A., Middeldorp, A. (eds) Automated Deduction - CADE-25. CADE 2015. Lecture Notes in Computer Science(), vol 9195. Springer, Cham. https://doi.org/10.1007/978-3-319-21401-6_42
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