References in zbMATH (referenced in 51 articles )

Showing results 1 to 20 of 51.
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  1. Juma, Nahid; Dietl, Werner; Tripunitara, Mahesh: A computational complexity analysis of tunable type inference for Generic Universe Types (2020)
  2. Junttila, Tommi; Karppa, Matti; Kaski, Petteri; Kohonen, Jukka: An adaptive prefix-assignment technique for symmetry reduction (2020)
  3. Li, Chu-Min; Xiao, Fan; Luo, Mao; Manyà, Felip; Lü, Zhipeng; Li, Yu: Clause vivification by unit propagation in CDCL SAT solvers (2020)
  4. Semenov, Alexander; Otpuschennikov, Ilya; Gribanova, Irina; Zaikin, Oleg; Kochemazov, Stepan: Translation of algorithmic descriptions of discrete functions to SAT with applications to cryptanalysis problems (2020)
  5. Bachmeier, Georg; Brandt, Felix; Geist, Christian; Harrenstein, Paul; Kardel, Keyvan; Peters, Dominik; Seedig, Hans Georg: (k)-majority digraphs and the hardness of voting with a constant number of voters (2019)
  6. Bean, Christian; Gudmundsson, Bjarki; Ulfarsson, Henning: Automatic discovery of structural rules of permutation classes (2019)
  7. Beleĭ, Evgeniya Gennad’evna; Semënov, Aleksandr Anatol’evich: On propositional coding techniques for the distinguishability of objects in finite sets (2019)
  8. Kauers, Manuel; Seidl, Martina; Zeilberger, Doron: On the maximal minimal cube lengths in distinct DNF tautologies (2019)
  9. Ngoko, Yanik; Cérin, Christophe; Trystram, Denis: Solving SAT in a distributed cloud: a portfolio approach (2019)
  10. Semenov, Alexander A.: Merging variables: one technique of search in pseudo-Boolean optimization (2019)
  11. Tonello, Elisa; Farcot, Etienne; Chaouiya, Claudine: Local negative circuits and cyclic attractors in Boolean networks with at most five components (2019)
  12. Cheng, Xi; Zhou, Min; Song, Xiaoyu; Gu, Ming; Sun, Jiaguang: Parallelizing SMT solving: lazy decomposition and conciliation (2018)
  13. Eggensperger, Katharina; Lindauer, Marius; Hoos, Holger H.; Hutter, Frank; Leyton-Brown, Kevin: Efficient benchmarking of algorithm configurators via model-based surrogates (2018)
  14. Ignatiev, Alexey; Morgado, Antonio; Marques-Silva, Joao: PySAT: A Python toolkit for prototyping with SAT oracles (2018)
  15. Kochemazov, Stepan; Zaikin, Oleg: ALIAS: a modular tool for finding backdoors for SAT (2018)
  16. Bannach, Max; Berndt, Sebastian; Ehlers, Thorsten: Jdrasil: a modular library for computing tree decompositions (2017)
  17. Baud-Berthier, Guillaume; Giráldez-Cru, Jesús; Simon, Laurent: On the community structure of bounded model checking SAT problems (2017)
  18. Brandt, Felix; Geist, Christian; Peters, Dominik: Optimal bounds for the no-show paradox via SAT solving (2017)
  19. Heule, Marijn J. H.; Seidl, Martina; Biere, Armin: Solution validation and extraction for QBF preprocessing (2017)
  20. Hutter, Frank; Lindauer, Marius; Balint, Adrian; Bayless, Sam; Hoos, Holger; Leyton-Brown, Kevin: The configurable SAT solver challenge (CSSC) (2017)

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Further publications can be found at: http://fmv.jku.at/papers/index.html