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|Title=Formula Simplifications as DRAT Derivations | |Title=Formula Simplifications as DRAT Derivations | ||
|To appear=0 | |||
|Year=2014 | |Year=2014 | ||
|Booktitle=KI 2014: Advances in Artificial Intelligence | |Booktitle=KI 2014: Advances in Artificial Intelligence | ||
|Pages=111-122 | |Pages=111-122 | ||
|Publisher=Springer | |Publisher=Springer | ||
|Editor=Carsten Lutz and Michael Tielscher | |||
|Series=Lecture Notes in Computer Science | |Series=Lecture Notes in Computer Science | ||
|Volume=8736 | |Volume=8736 | ||
| | |Organization= | ||
}} | }} | ||
{{Publikation Details | {{Publikation Details | ||
| | |Bild=Ki2014.jpg | ||
| | |Abstract=Many real world problems are solved with satisfiability testing (SAT). However, SAT solvers have documented bugs and therefore the answer that a formula is unsatisfiable can be incorrect. Certifying algorithms are an attractive approach to increase the reliability of SAT solvers. For unsatisfiable formulas an unsatisfiability proof has to be created. This paper presents certificate constructions for various formula simplification techniques, which are crucial to the success of modern SAT solvers | ||
|Forschungsgruppe=Wissensverarbeitung | |Forschungsgruppe=Wissensverarbeitung | ||
}} | }} |
Aktuelle Version vom 11. Juni 2015, 14:22 Uhr
Formula Simplifications as DRAT Derivations
Norbert MantheyNorbert Manthey, Tobias PhilippTobias Philipp

Norbert Manthey, Tobias Philipp
Formula Simplifications as DRAT Derivations
In Carsten Lutz and Michael Tielscher, eds., KI 2014: Advances in Artificial Intelligence, volume 8736 of Lecture Notes in Computer Science, 111-122, 2014. Springer
Formula Simplifications as DRAT Derivations
In Carsten Lutz and Michael Tielscher, eds., KI 2014: Advances in Artificial Intelligence, volume 8736 of Lecture Notes in Computer Science, 111-122, 2014. Springer
- KurzfassungAbstract
Many real world problems are solved with satisfiability testing (SAT). However, SAT solvers have documented bugs and therefore the answer that a formula is unsatisfiable can be incorrect. Certifying algorithms are an attractive approach to increase the reliability of SAT solvers. For unsatisfiable formulas an unsatisfiability proof has to be created. This paper presents certificate constructions for various formula simplification techniques, which are crucial to the success of modern SAT solvers - Forschungsgruppe:Research Group: WissensverarbeitungKnowledge Representation and Reasoning
@inproceedings{MP2014,
author = {Norbert Manthey and Tobias Philipp},
title = {Formula Simplifications as {DRAT} Derivations},
editor = {Carsten Lutz and Michael Tielscher},
booktitle = {KI 2014: Advances in Artificial Intelligence},
series = {Lecture Notes in Computer Science},
volume = {8736},
publisher = {Springer},
year = {2014},
pages = {111-122}
}