The state of SAT
暂无分享,去创建一个
[1] Eli Ben-Sasson,et al. Near Optimal Separation Of Tree-Like And General Resolution , 2004, Comb..
[2] Béla Bollobás,et al. The scaling window of the 2‐SAT transition , 1999, Random Struct. Algorithms.
[3] Randall Davis,et al. Diagnostic Reasoning Based on Structure and Behavior , 1984, Artif. Intell..
[4] Bart Selman,et al. Generating Satisfiable Problem Instances , 2000, AAAI/IAAI.
[5] Steven Prestwich,et al. Local Search on SAT-Encoded CSPs , 2003 .
[6] Benjamin W. Wah,et al. A Discrete Lagrangian-Based Global-Search Method for Solving Satisfiability Problems , 1996, J. Glob. Optim..
[7] Tad Hogg,et al. Phase Transitions and the Search Problem , 1996, Artif. Intell..
[8] Maria Luisa Bonet,et al. On the Relative Complexity of Resolution Refinements and Cutting Planes Proof Systems , 2000, SIAM J. Comput..
[9] David Zuckerman,et al. Optimal speedup of Las Vegas algorithms , 1993, [1993] The 2nd Israel Symposium on Theory and Computing Systems.
[10] Peter van Beek,et al. Constraint tightness and looseness versus local and global consistency , 1997, JACM.
[11] Sérgio Vale Aguiar Campos,et al. Symbolic Model Checking , 1993, CAV.
[12] Zhe Wu,et al. Trap Escaping Strategies in Discrete Lagrangian Methods for Solving Hard Satisfiability and Maximum Satisfiability Problems , 1999, AAAI/IAAI.
[13] Balakrishnan Krishnamurthy. Short proofs for tricky formulas , 2004, Acta Informatica.
[14] James M. Crawford,et al. The Minimal Disagreement Parity Problem as a Hard Satisfiability Problem , 1995 .
[15] Joachim P. Walser. Solving Linear Pseudo-Boolean Constraint Problems with Local Search , 1997, AAAI/IAAI.
[16] Armin Biere,et al. Symbolic Model Checking without BDDs , 1999, TACAS.
[17] Fabio Massacci,et al. Using Walk-SAT and Rel-Sat for Cryptographic Key Search , 1999, IJCAI.
[18] Bart Selman,et al. Formal Models of Heavy-Tailed Behavior in Combinatorial Search , 2001, CP.
[19] Joao Marques-Silva,et al. GRASP-A new search algorithm for satisfiability , 1996, Proceedings of International Conference on Computer Aided Design.
[20] Hector J. Levesque,et al. Hard and Easy Distributions of SAT Problems , 1992, AAAI.
[21] Brian C. Williams,et al. Diagnosing Multiple Faults , 1987, Artif. Intell..
[22] David Maxwell Chickering,et al. A Bayesian Approach to Tackling Hard Computational Problems (Preliminary Report) , 2001, Electron. Notes Discret. Math..
[23] Holger H. Hoos,et al. Stochastic local search - methods, models, applications , 1998, DISKI.
[24] Gilles Dequen,et al. A backbone-search heuristic for efficient solving of hard 3-SAT formulae , 2001, IJCAI.
[25] Fahiem Bacchus,et al. Effective Preprocessing with Hyper-Resolution and Equality Reduction , 2003, SAT.
[26] Alasdair Urquhart,et al. The Symmetry Rule in Propositional Logic , 1999, Discret. Appl. Math..
[27] Benjamin W. Wah,et al. A discrete Lagrangian-based global-search method for solving satisfiability problems , 1996, Satisfiability Problem: Theory and Applications.
[28] Paul Morris,et al. The Breakout Method for Escaping from Local Minima , 1993, AAAI.
[29] Mauricio G. C. Resende,et al. Computational experience with an interior point algorithm on the satisfiability problem , 1990, IPCO.
[30] David Zuckerman,et al. Optimal Speedup of Las Vegas Algorithms , 1993, Inf. Process. Lett..
[31] Steven David Prestwich,et al. Local Search on SAT-encoded Colouring Problems , 2003, SAT.
[32] Bart Selman,et al. Problem Structure in the Presence of Perturbations , 1997, AAAI/IAAI.
[33] M. Trick,et al. Cliques, Coloring, and Satisfiability: Second DIMACS Implementation Challenge, Workshop, October 11-13, 1993 , 1996 .
[34] Inês Lynce,et al. An Overview of Backtrack Search Satisfiability Algorithms , 2003, Annals of Mathematics and Artificial Intelligence.
[35] Stephen A. Cook,et al. The Relative Efficiency of Propositional Proof Systems , 1979, Journal of Symbolic Logic.
[36] Toby Walsh,et al. Search in a Small World , 1999, IJCAI.
[37] Michael D. Ernst,et al. Automatic SAT-Compilation of Planning Problems , 1997, IJCAI.
[38] Hans van Maaren,et al. A two phase algorithm for solving a class of hard satissfiability problems , 1998 .
[39] Djamal Habet,et al. A Hybrid Approach for SAT , 2002, CP.
[40] Bart Selman,et al. Pushing the Envelope: Planning, Propositional Logic and Stochastic Search , 1996, AAAI/IAAI, Vol. 2.
[41] Edward A. Hirsch,et al. The SAT2002 competition , 2004, Annals of Mathematics and Artificial Intelligence.
[42] Gerald J. Sussman,et al. Forward Reasoning and Dependency-Directed Backtracking in a System for Computer-Aided Circuit Analysis , 1976, Artif. Intell..
[43] Eugene Goldberg,et al. BerkMin: A Fast and Robust Sat-Solver , 2002, Discret. Appl. Math..
[44] Randal E. Bryant,et al. Effective use of Boolean satisfiability procedures in the formal verification of superscalar and VLIW microprocessors , 2003, J. Symb. Comput..
[45] E. Friedgut,et al. Sharp thresholds of graph properties, and the -sat problem , 1999 .
[46] Toby Walsh,et al. Reformulating Propositional Satisfiability as Constraint Satisfaction , 2000, SARA.
[47] James M. Crawford,et al. Symmetry-Breaking Predicates for Search Problems , 1996, KR.
[48] David G. Mitchell,et al. Finding hard instances of the satisfiability problem: A survey , 1996, Satisfiability Problem: Theory and Applications.
[49] Armin Biere,et al. Bounded Model Checking Using Satisfiability Solving , 2001, Formal Methods Syst. Des..
[50] Matthias F. Stallmann,et al. A Local Search SAT Solver Using an Effective Switching Strategy and an Efficient Unit Propagation , 2003, SAT.
[51] Chu Min Li,et al. Integrating Equivalency Reasoning into Davis-Putnam Procedure , 2000, AAAI/IAAI.
[52] Andrew W. Moore,et al. Learning Evaluation Functions for Global Optimization and Boolean Satisfiability , 1998, AAAI/IAAI.
[53] Kenneth L. McMillan,et al. Symbolic model checking , 1992 .
[54] Toby Walsh,et al. Easy Problems are Sometimes Hard , 1994, Artif. Intell..
[55] Ronen I. Brafman,et al. A simplifier for propositional formulas with many binary clauses , 2001, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[56] David S. Johnson,et al. Cliques, Coloring, and Satisfiability , 1996 .
[57] Hector J. Levesque,et al. A New Method for Solving Hard Satisfiability Problems , 1992, AAAI.
[58] Eric Horvitz,et al. Restart Policies with Dependence among Runs: A Dynamic Programming Approach , 2002, CP.
[59] Matthias F. Stallmann,et al. QingTing: A Local Search SAT Solver Using an Efiective Switching Strategy and an E-cient Unit Propagation , 2003 .
[60] Rémi Monasson,et al. Determining computational complexity from characteristic ‘phase transitions’ , 1999, Nature.
[61] Jeremy Frank,et al. When Gravity Fails: Local Search Topology , 1997, J. Artif. Intell. Res..
[62] Evangelos Kranakis,et al. Rigorous results for random (2+p)-SAT , 2001, Theor. Comput. Sci..
[63] Russell Impagliazzo,et al. Memoization and DPLL: formula caching proof systems , 2003, 18th IEEE Annual Conference on Computational Complexity, 2003. Proceedings..
[64] Henry A. Kautz,et al. Using Problem Structure for Efficient Clause Learning , 2003, SAT.
[65] Toby Walsh,et al. Local Consistencies in SAT , 2003, SAT.
[66] Rémi Monasson,et al. A Study of Pure Random Walk on Random Satisfiability Problems with "Physical" Methods , 2003, SAT.
[67] Rémi Monasson,et al. Statistical mechanics methods and phase transitions in optimization problems , 2001, Theor. Comput. Sci..
[68] Michael Molloy,et al. A sharp threshold in proof complexity , 2001, STOC '01.
[69] R. Zecchina,et al. Phase transitions in combinatorial problems , 2001 .
[70] Henry A. Kautz,et al. Understanding the power of clause learning , 2003, IJCAI 2003.
[71] Bart Selman,et al. Ten Challenges in Propositional Reasoning and Search , 1997, IJCAI.
[72] Bart Selman,et al. Backdoors To Typical Case Complexity , 2003, IJCAI.
[73] Bart Selman,et al. Encoding Plans in Propositional Logic , 1996, KR.
[74] Holger H. Hoos,et al. On the Run-time Behaviour of Stochastic Local Search Algorithms for SAT , 1999, AAAI/IAAI.
[75] Karem A. Sakallah,et al. GRASP—a new search algorithm for satisfiability , 1996, ICCAD 1996.
[76] Hilary Putnam,et al. A Computing Procedure for Quantification Theory , 1960, JACM.
[77] Bart Selman,et al. Unifying SAT-based and Graph-based Planning , 1999, IJCAI.
[78] Bart Selman,et al. Boosting Combinatorial Search Through Randomization , 1998, AAAI/IAAI.
[79] Bart Selman,et al. Heavy-Tailed Phenomena in Satisfiability and Constraint Satisfaction Problems , 2000, Journal of Automated Reasoning.
[80] Donald W. Loveland,et al. A machine program for theorem-proving , 2011, CACM.
[81] Igor L. Markov,et al. Efficient symmetry breaking for Boolean satisfiability , 2003, IEEE Transactions on Computers.
[82] Chu Min Li,et al. On the limit of branching rules for hard random unsatisfiable 3-SAT , 2003, Discret. Appl. Math..
[83] Endre Szemerédi,et al. Many hard examples for resolution , 1988, JACM.
[84] Edward A. Hirsch,et al. UnitWalk: A new SAT solver that uses local search guided by unit clause elimination , 2005, Annals of Mathematics and Artificial Intelligence.
[85] Laurent Simon,et al. The Essentials of the SAT 2003 Competition , 2003, SAT.
[86] Per Bjesse,et al. Finding Bugs in an Alpha Microprocessor Using Satisfiability Solvers , 2001, CAV.
[87] Hantao Zhang,et al. SATO: An Efficient Propositional Prover , 1997, CADE.
[88] Lakhdar Sais,et al. Recovering and Exploiting Structural Knowledge from CNF Formulas , 2002, CP.
[89] Armin Haken,et al. The Intractability of Resolution , 1985, Theor. Comput. Sci..
[90] Joao Marques-Silva,et al. Using Randomization and Learning to Solve Hard Real-World Instances of Satisfiability , 2000, CP.
[91] Toniann Pitassi,et al. DPLL with Caching: A new algorithm for #SAT and Bayesian Inference , 2003, Electron. Colloquium Comput. Complex..
[92] Sharad Malik,et al. Chaff: engineering an efficient SAT solver , 2001, Proceedings of the 38th Design Automation Conference (IEEE Cat. No.01CH37232).
[93] Roberto J. Bayardo,et al. Using CSP Look-Back Techniques to Solve Real-World SAT Instances , 1997, AAAI/IAAI.
[94] Matthew L. Ginsberg,et al. Supermodels and Robustness , 1998, AAAI/IAAI.
[95] Catherine C. McGeoch. Experimental analysis of algorithms , 1986 .
[96] M. Mézard,et al. Analytic and Algorithmic Solution of Random Satisfiability Problems , 2002, Science.
[97] B. Selman,et al. Satisfied with Physics , 2002, Science.
[98] Dale Schuurmans,et al. Local search characteristics of incomplete SAT procedures , 2000, Artif. Intell..
[99] Maria Luisa Bonet,et al. A study of proof search algorithms for resolution and polynomial calculus , 1999, 40th Annual Symposium on Foundations of Computer Science (Cat. No.99CB37039).
[100] Sharad Malik,et al. Efficient conflict driven learning in a Boolean satisfiability solver , 2001, IEEE/ACM International Conference on Computer Aided Design. ICCAD 2001. IEEE/ACM Digest of Technical Papers (Cat. No.01CH37281).
[101] Igor L. Markov,et al. Generic ILP versus specialized 0-1 ILP: an update , 2002, IEEE/ACM International Conference on Computer Aided Design, 2002. ICCAD 2002..
[102] Randal E. Bryant,et al. Effective use of boolean satisfiability procedures in the formal verification of superscalar and VLIW , 2001, DAC '01.
[103] Lakhdar Sais,et al. Boosting complete techniques thanks to local search methods , 1998, Annals of Mathematics and Artificial Intelligence.
[104] Etienne de Klerk,et al. Centrum voor Wiskunde en Informatica REPORTRAPPORT Report SEN-R9903 , 1999 .
[105] Bart Selman,et al. An Empirical Study of Greedy Local Search for Satisfiability Testing , 1993, AAAI.
[106] Bart Selman,et al. Accelerating Random Walks , 2002, CP.
[107] J. Hooker. Resolution vs. cutting plane solution of inference problems: Some computational experience , 1988 .
[108] Edmund M. Clarke,et al. Symbolic Model Checking: 10^20 States and Beyond , 1990, Inf. Comput..
[109] Bart Selman,et al. Local search strategies for satisfiability testing , 1993, Cliques, Coloring, and Satisfiability.
[110] Pavel Pudlák,et al. Satisfiability Coding Lemma , 1997, Proceedings 38th Annual Symposium on Foundations of Computer Science.