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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Chaudhari, Narendra S. | en_US |
dc.date.accessioned | 2022-03-17T01:00:00Z | - |
dc.date.accessioned | 2022-03-17T15:35:28Z | - |
dc.date.available | 2022-03-17T01:00:00Z | - |
dc.date.available | 2022-03-17T15:35:28Z | - |
dc.date.issued | 2011 | - |
dc.identifier.citation | Chaudhari, 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.isbn | 9780972741286 | - |
dc.identifier.other | EID(2-s2.0-84872170792) | - |
dc.identifier.uri | https://dspace.iiti.ac.in/handle/123456789/4780 | - |
dc.description.abstract | For 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.iso | en | en_US |
dc.source | Proceedings of the 5th Indian International Conference on Artificial Intelligence, IICAI 2011 | en_US |
dc.subject | 2-SAT | en_US |
dc.subject | 2-SAT problems | en_US |
dc.subject | 3-SAT | en_US |
dc.subject | NP Complete | en_US |
dc.subject | Polynomial algorithm | en_US |
dc.subject | Polynomial-time | en_US |
dc.subject | Satisfiability | en_US |
dc.subject | Set operation | en_US |
dc.subject | Algorithms | en_US |
dc.subject | Artificial intelligence | en_US |
dc.subject | Computational complexity | en_US |
dc.subject | Polynomial approximation | en_US |
dc.subject | Formal logic | en_US |
dc.title | 3-CNF-satisfiability in polynomial time | en_US |
dc.type | Conference Paper | en_US |
Appears in Collections: | Department of Computer Science and Engineering |
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