A hierarchy of tractable subclasses for SAT and counting SAT problems
Name
Andrei-2009-A hierarchy of tractable subclasses for SAT and counting SAT problems.pdf
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Author(s) • • •
Rinard, Martin C.
Grigoras, Gheorghe
Andrei, Stefan
Yap, Roland Hock Chuan
Date Issued
May 2010
Journal
2009 11th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)
Publisher
Institute of Electrical and Electronics Engineers
Citation
Andrei, S. et al. “A Hierarchy of Tractable Subclasses for SAT and Counting SAT Problems.” Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2009 11th International Symposium on. 2009. 61-68. © 2009 Institute of Electrical and Electronics Engineers.
Version
Final published version
Abstract
Finding subclasses of formulae for which the SAT problem can be solved in polynomial time has been an important problem in computer science. We present a new hierarchy of propositional formulae subclasses for which the SAT and counting SAT problems can be solved in polynomial time. Our tractable subclasses are those propositional formulae in conjunctive normal form where any set of k + 1 clauses are related, i.e., there exists at least one literal in one clause that appears negated in another clause of the considered set of k + 1 clauses. We say this subclass of formulae is of rank k and it is different from previously known subclasses that are solvable in polynomial time. This is an improvement over the SAT Dichotomy Theorem and the counting SAT Dichotomy Theorem, since our subclass can be moved out from the NP-complete class to the P class. The membership problem for this new subclass can be solved in O(n·l[superscript k+1]), where n, l and k are the number of variables, clauses and the rank (1 [less than and equal to] k [less than and equal to] l - 1), respectively. We give an efficient algorithm to approximate the number of assignments for any arbitrary conjunctive normal form propositional formula by an upper bound.
Subjects
SAT and Counting SAT Problems
Tractable Subclasses
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Laboratory for Computer Science
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DOI of Published Version
https://doi.org/10.1109/SYNASC.2009.12