The Silent (R)evolution of SAT

The propositional satisfiability problem (SAT) was the first problem to be shown NP-complete by Cook and Levin. SAT remained the embodiment of theoretical worst-case hardness. However, in stark contrast to its theoretical hardness, the SAT problem has emerged as an essential tool for efficiently sol...

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Main Authors: Hecher, Markus, Fichte, Johannes, Le Berre, Daniel, Szeider, Stefan
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: ACM|Communications of the ACM 2023
Online Access:https://hdl.handle.net/1721.1/150840
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author Hecher, Markus
Fichte, Johannes
Le Berre, Daniel
Szeider, Stefan
author2 Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
author_facet Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Hecher, Markus
Fichte, Johannes
Le Berre, Daniel
Szeider, Stefan
author_sort Hecher, Markus
collection MIT
description The propositional satisfiability problem (SAT) was the first problem to be shown NP-complete by Cook and Levin. SAT remained the embodiment of theoretical worst-case hardness. However, in stark contrast to its theoretical hardness, the SAT problem has emerged as an essential tool for efficiently solving a wide variety of computational problems. SAT solving technology has continuously advanced since a breakthrough around the millennium, which catapulted practical SAT solving by orders of magnitudes ahead. Today, the many flavors of SAT technology can be found in all areas of technological innovation.
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spelling mit-1721.1/1508402024-01-05T21:10:50Z The Silent (R)evolution of SAT Hecher, Markus Fichte, Johannes Le Berre, Daniel Szeider, Stefan Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory The propositional satisfiability problem (SAT) was the first problem to be shown NP-complete by Cook and Levin. SAT remained the embodiment of theoretical worst-case hardness. However, in stark contrast to its theoretical hardness, the SAT problem has emerged as an essential tool for efficiently solving a wide variety of computational problems. SAT solving technology has continuously advanced since a breakthrough around the millennium, which catapulted practical SAT solving by orders of magnitudes ahead. Today, the many flavors of SAT technology can be found in all areas of technological innovation. 2023-06-01T20:15:09Z 2023-06-01T20:15:09Z 2023-05-24 2023-06-01T07:46:06Z Article http://purl.org/eprint/type/JournalArticle 0001-0782 https://hdl.handle.net/1721.1/150840 Hecher, Markus, Fichte, Johannes, Le Berre, Daniel and Szeider, Stefan. 2023. "The Silent (R)evolution of SAT." PUBLISHER_POLICY en https://doi.org/10.1145/3560469 Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. The author(s) application/pdf ACM|Communications of the ACM Association for Computing Machinery
spellingShingle Hecher, Markus
Fichte, Johannes
Le Berre, Daniel
Szeider, Stefan
The Silent (R)evolution of SAT
title The Silent (R)evolution of SAT
title_full The Silent (R)evolution of SAT
title_fullStr The Silent (R)evolution of SAT
title_full_unstemmed The Silent (R)evolution of SAT
title_short The Silent (R)evolution of SAT
title_sort silent r evolution of sat
url https://hdl.handle.net/1721.1/150840
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