License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.SAT.2023.5
URN: urn:nbn:de:0030-drops-184670
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2023/18467/
Bonacina, Ilario ;
Bonet, Maria Luisa ;
Levy, Jordi
Polynomial Calculus for MaxSAT
Abstract
MaxSAT is the problem of finding an assignment satisfying the maximum number of clauses in a CNF formula. We consider a natural generalization of this problem to generic sets of polynomials and propose a weighted version of Polynomial Calculus to address this problem.
Weighted Polynomial Calculus is a natural generalization of MaxSAT-Resolution and weighted Resolution that manipulates polynomials with coefficients in a finite field and either weights in ℕ or ℤ. We show the soundness and completeness of these systems via an algorithmic procedure.
Weighted Polynomial Calculus, with weights in ℕ and coefficients in ?₂, is able to prove efficiently that Tseitin formulas on a connected graph are minimally unsatisfiable. Using weights in ℤ, it also proves efficiently that the Pigeonhole Principle is minimally unsatisfiable.
BibTeX - Entry
@InProceedings{bonacina_et_al:LIPIcs.SAT.2023.5,
author = {Bonacina, Ilario and Bonet, Maria Luisa and Levy, Jordi},
title = {{Polynomial Calculus for MaxSAT}},
booktitle = {26th International Conference on Theory and Applications of Satisfiability Testing (SAT 2023)},
pages = {5:1--5:17},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-286-0},
ISSN = {1868-8969},
year = {2023},
volume = {271},
editor = {Mahajan, Meena and Slivovsky, Friedrich},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/opus/volltexte/2023/18467},
URN = {urn:nbn:de:0030-drops-184670},
doi = {10.4230/LIPIcs.SAT.2023.5},
annote = {Keywords: Polynomial Calculus, MaxSAT, Proof systems, Algebraic reasoning}
}
Keywords: |
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Polynomial Calculus, MaxSAT, Proof systems, Algebraic reasoning |
Collection: |
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26th International Conference on Theory and Applications of Satisfiability Testing (SAT 2023) |
Issue Date: |
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2023 |
Date of publication: |
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09.08.2023 |