Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/4780
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dc.contributor.authorChaudhari, Narendra S.en_US
dc.date.accessioned2022-03-17T01:00:00Z-
dc.date.accessioned2022-03-17T15:35:28Z-
dc.date.available2022-03-17T01:00:00Z-
dc.date.available2022-03-17T15:35:28Z-
dc.date.issued2011-
dc.identifier.citationChaudhari, N. S. (2011). 3-CNF-satisfiability in polynomial time. Paper presented at the Proceedings of the 5th Indian International Conference on Artificial Intelligence, IICAI 2011, 590-609.en_US
dc.identifier.isbn9780972741286-
dc.identifier.otherEID(2-s2.0-84872170792)-
dc.identifier.urihttps://dspace.iiti.ac.in/handle/123456789/4780-
dc.description.abstractFor more than four decades, satisfiability of 2-CNF (2-SAT) is well-known to be solvable in polynomial (in fact linear) time, while satisfiability of 3-CNF formula (3-SAT) is NP-Complete. For last four decades, it was widely believed that 3-SAT does not have polynomial algorithm [6]. We fix this anomaly by first giving two polynomial algorithmic formulations for 2-SAT. Further, we introduce the notion of "context". For a clause of length 3, we generate 3 contexts. Suppose that we have a 3-CNF formula F with k clauses. We represent formula F by generating 3*k contexts, storing all of them, and analyzing them collectively. We construct one 2-SAT problem for analyzing each context. This approach results in the most surprising result that 3-SAT is also solvable in polynomial time. We demonstrate a simple bound of O(k3n3) set operations for our polynomial algorithm for 3-SAT.en_US
dc.language.isoenen_US
dc.sourceProceedings of the 5th Indian International Conference on Artificial Intelligence, IICAI 2011en_US
dc.subject2-SATen_US
dc.subject2-SAT problemsen_US
dc.subject3-SATen_US
dc.subjectNP Completeen_US
dc.subjectPolynomial algorithmen_US
dc.subjectPolynomial-timeen_US
dc.subjectSatisfiabilityen_US
dc.subjectSet operationen_US
dc.subjectAlgorithmsen_US
dc.subjectArtificial intelligenceen_US
dc.subjectComputational complexityen_US
dc.subjectPolynomial approximationen_US
dc.subjectFormal logicen_US
dc.title3-CNF-satisfiability in polynomial timeen_US
dc.typeConference Paperen_US
Appears in Collections:Department of Computer Science and Engineering

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