Using csp lookback techniques to solve real-world sat instances, Proceedings of the Fourteenth National Conference on Artificial Intelligence, pp.203-207, 1997. ,
DOI : 10.1007/3-540-61551-2_65
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.103.9830
Towards understanding and harnessing the potential of clause learning, Journal of Artificial Intelligence Research, vol.22, pp.319-351, 2004. ,
Short proofs are narrow---resolution made simple, Journal of the ACM, vol.48, issue.2, pp.149-169, 2001. ,
DOI : 10.1145/375827.375835
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.20.8383
MULTIRESOLUTION FOR SAT CHECKING, International Journal on Artificial Intelligence Tools, vol.10, issue.04, pp.451-481, 2001. ,
DOI : 10.1142/S0218213001000611
A short proof of the pigeon hole principle using extended resolution, SIGACT News, vol.8, issue.4, pp.28-32, 1976. ,
A machine program for theorem-proving, Communications of the ACM, vol.5, issue.7, pp.394-397, 1962. ,
DOI : 10.1145/368273.368557
An extensible SAT-solver, proceedings of SAT, pp.502-518, 2003. ,
The intractability of resolution, Theoretical Computer Science, vol.39, pp.297-308, 1985. ,
DOI : 10.1016/0304-3975(85)90144-6
Clause learning can effectively psimulate general propositional resolution, Proceedings of the 23rd AAAI Conference on Artificial Intelligence (AAAI-2008), pp.283-290, 2008. ,
The effect of restarts on the efficiency of clause learning, Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, pp.2318-2323, 2007. ,
GRASP: a search algorithm for propositional satisfiability, IEEE Transactions on Computers, vol.48, issue.5, pp.506-521, 1999. ,
DOI : 10.1109/12.769433
Chaff, Proceedings of the 38th conference on Design automation , DAC '01, pp.530-535, 2001. ,
DOI : 10.1145/378239.379017
On the Power of Clause-Learning SAT Solvers with Restarts, Principles and Practice of Constraint Programming -CP 2009, pp.654-668, 2009. ,
DOI : 10.1007/11591191_40
A survey of recent advances in SAT-based formal verification, International Journal on Software Tools for Technology Transfer, vol.35, issue.2, pp.156-173, 2005. ,
DOI : 10.1007/s10009-004-0183-4
A Machine-Oriented Logic Based on the Resolution Principle, Journal of the ACM, vol.12, issue.1, pp.23-41, 1965. ,
DOI : 10.1145/321250.321253
Dynamic Symmetry Breaking by Simulating Zykov Contraction, Theory and Applications of Satisfiability Testing -SAT 2009, pp.223-236, 2009. ,
DOI : 10.1016/j.dam.2006.07.016
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.152.9222
Extended Resolution Proofs for Conjoining BDDs, Lecture Notes in Computer Science, vol.3967, pp.600-611, 2006. ,
DOI : 10.1007/11753728_60
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.331.1175
On the complexity of proofs in propositional logics Automation of Reasoning : Classical Papers in Computational Logic, 1967. ,
Hard examples for resolution, Journal of the ACM, vol.34, issue.1, pp.209-219, 1987. ,
DOI : 10.1145/7531.8928
The complexity of propositional proofs, pp.332-342, 2001. ,
Pool Resolution and Its Relation to Regular Resolution and DPLL with Clause Learning, Logic for Programming, Artificial Intelligence , and Reasoning, pp.580-594, 2005. ,
DOI : 10.1007/11591191_40
Efficient conflict driven learning in a boolean satisfiability solver, Proceedings of IEEE/ACM International Conference on Computer Design (ICCAD), pp.279-285, 2001. ,