Effective Preprocessing in SAT Through Variable and Clause Elimination
Author(s) -
Niklas Eén,
Armin Biere
Publication year - 2005
Publication title -
lecture notes in computer science
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.249
H-Index - 400
eISSN - 1611-3349
pISSN - 0302-9743
ISBN - 3-540-26276-8
DOI - 10.1007/11499107_5
Subject(s) - variable elimination , preprocessor , computer science , variable (mathematics) , resolution (logic) , algorithm , boolean satisfiability problem , reduction (mathematics) , programming language , artificial intelligence , mathematics , mathematical analysis , geometry , inference
Preprocessing SAT instances can reduce their size considerably. We combine variable elimination with subsumption and self-subsuming resolution, and show that these techniques not only shrink the formula further than previous preprocessing efforts based on variable elimination, but also decrease runtime of SAT solvers substantially for typical industrial SAT problems. We discuss critical implementation details that make the reduction procedure fast enough to be practical.
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