MiniSat

An extensible SAT-solver. MiniSat is a minimalistic, open-source SAT solver, developed to help researchers and developers alike to get started on SAT. It is released under the MIT licence, and is currently used in a number of projects (see ”Links”). On this page you will find binaries, sources, documentation and projects related to MiniSat, including the Pseudo-boolean solver MiniSat+ and the CNF minimizer/preprocessor SatELite. Together with SatELite, MiniSat was recently awarded in the three industrial categories and one of the ”crafted” categories of the SAT 2005 competition.


References in zbMATH (referenced in 455 articles , 1 standard article )

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  1. Cerutti, Federico; Vallati, Mauro; Giacomin, Massimiliano: On the impact of configuration on abstract argumentation automated reasoning (2018)
  2. Cheng, Xi; Zhou, Min; Song, Xiaoyu; Gu, Ming; Sun, Jiaguang: Parallelizing SMT solving: lazy decomposition and conciliation (2018)
  3. Eggensperger, Katharina; Lindauer, Marius; Hoos, Holger H.; Hutter, Frank; Leyton-Brown, Kevin: Efficient benchmarking of algorithm configurators via model-based surrogates (2018)
  4. Abramé, André; Habet, Djamal; Toumi, Donia: Improving configuration checking for satisfiable random $k$-SAT instances (2017)
  5. Al-Saedi, Balasim; Fourdrinoy, Olivier; Grégoire, Éric; Mazure, Bertrand; Saïs, Lakhdar: About some UP-based polynomial fragments of SAT (2017)
  6. Berg, Jeremias; Järvisalo, Matti: Cost-optimal constrained correlation clustering via weighted partial maximum satisfiability (2017)
  7. Bhattacharyya, Anirban; Mokhov, Andrey; Pierce, Ken: An empirical comparison of formalisms for modelling and analysis of dynamic reconfiguration of dependable systems (2017)
  8. Cabodi, G.; Camurati, P.E.; Mishchenko, A.; Palena, M.; Pasini, P.: SAT solver management strategies in IC3: an experimental approach (2017)
  9. Chakraborty, Supratik; Khasidashvili, Zurab; Seger, Carl-Johan H.; Gajavelly, Rajkumar; Haldankar, Tanmay; Chhatani, Dinesh; Mistry, Rakesh: Symbolic trajectory evaluation for word-level verification: theory and implementation (2017)
  10. Chihani, Zakaria; Marre, Bruno; Bobot, François; Bardin, Sébastien: Sharpening constraint programming approaches for bit-vector theory (2017)
  11. Dekker, Jip J.; Björdal, Gustav; Carlsson, Mats; Flener, Pierre; Monette, Jean-Noël: Auto-tabling for subproblem presolving in minizinc (2017)
  12. Deza, Michel-Marie; Dutour Sikirić, Mathieu: Lego-like spheres and tori (2017)
  13. Egly, Uwe; Kronegger, Martin; Lonsing, Florian; Pfandler, Andreas: Conformant planning as a case study of incremental QBF solving (2017)
  14. Ehlers, Thorsten: Merging almost sorted sequences yields a 24-sorter (2017)
  15. Giesl, Jürgen; Aschermann, Cornelius; Brockschmidt, Marc; Emmes, Fabian; Frohn, Florian; Fuhs, Carsten; Hensel, Jera; Otto, Carsten; Plücker, Martin; Schneider-Kamp, Peter; Ströder, Thomas; Swiderski, Stephanie; Thiemann, René: Analyzing program termination and complexity automatically with \ssfAProVE (2017)
  16. Hutter, Frank; Lindauer, Marius; Balint, Adrian; Bayless, Sam; Hoos, Holger; Leyton-Brown, Kevin: The configurable SAT solver challenge (CSSC) (2017)
  17. Jovanović, Dejan: Solving nonlinear integer arithmetic with MCSAT (2017)
  18. Lagniez, Jean-Marie; Marquis, Pierre: On preprocessing techniques and their impact on propositional model counting (2017)
  19. Lierler, Yuliya: What is answer set programming to propositional satisfiability (2017)
  20. Lindauer, Marius; Hoos, Holger; Leyton-Brown, Kevin; Schaub, Torsten: Automatic construction of parallel portfolios via algorithm configuration (2017)

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Further publications can be found at: http://minisat.se/Papers.html