Stratification, Inequality, and the SAT: Toward an SAT-Optional Movement
In: Georgetown Journal on Poverty Law & Policy, Band 18, S. 507
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In: Georgetown Journal on Poverty Law & Policy, Band 18, S. 507
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Despite the success of CDCL SAT solvers solving industrial problems, there are still many open questions to explain such success. In this context, the generation of random SAT instances having computational properties more similar to real-world problems becomes crucial. Such generators are possibly the best tool to analyze families of instances and solvers behaviors on them. In this paper, we present a random SAT instances generator based on the notion of locality. We show that this is a decisive dimension of attractiveness among the variables of a formula, and how CDCL SAT solvers take advantage of it. To the best of our knowledge, this is the first random SAT model that generates both scale-free structure and community structure at once. ; This work was partially supported by the MINECO/FEDER project RASO (TIN2015-71799-C2-1-P), the CSIC project LOGAL (201450E045), and the European Research Council under the European Union's Seventh Framework Programme (FP7/2007–2013) / ERC grant agreement no. 279611. ; Peer Reviewed
BASE
In: Zeitschrift für Konfliktmanagement: Konfliktmanagement, Mediation, Verhandeln ; ZKM, Band 24, Heft 1, S. 38-39
ISSN: 2194-4210
In: The courier: the magazine of Africa, Caribbean, Pacific & European Union Cooperation and Relations, Heft 85, S. 60-101
ISSN: 1784-682X, 1606-2000, 1784-6803
Kurzbeiträge, Überblicke, Interviews zur Bedeutung und Entwicklung der Fischerei, u.a. in Gabun
World Affairs Online
In: The American: a magazine of ideas, Band 1, Heft 5, S. 33-36
ISSN: 1932-8117
In: Journalism quarterly, Band 5, Heft 3, S. 20-30
In: The journal of human resources, Band XXXVIII, Heft 1, S. 1-33
ISSN: 1548-8004
[EN]In the last decades, we have witnessed a remarkable success of algorithms solving the Boolean Satisfiability problem (SAT) on instances encoding application or real-world problems arising from a very diverse number of domains, such as hardware and software verification, planning or cryptography. These algorithms are the so known Conflict-Driven Clause Learning (CDCL) SAT solvers. Interestingly enough, the reasons for the success of these solvers on this diverse range of problems are not completely understood yet. A common issue when facing this open challenge is the heterogeneity of this set of benchmarks. Another problem is the limited number of existing instances. In this context, random models of SAT formulas capturing features shared by the majority of these application benchmarks become crucial, for both theoretical and practical purposes. On the one hand, it is undoubtedly necessary to have random models where theoretical properties, like hardness, can be studied. Therefore, realistic random SAT models may contribute to explain the success of these solvers on these industrial problems. On the other hand, the limited number of benchmarks and their hardness in practice makes the evaluation of new solving techniques a costly task. Therefore, these realistic random SAT generators can provide an unlimited number of pseudo-industrial random SAT instances with some desired properties. In this work, we present a random SAT instances generator based on the notion of locality. This notion is complementary to the popularity of variables, which is present in the scale-free structure, observable in actual application problems and achievable by previous generators. Our random SAT model combines both locality and popularity, and we show that they are two decisive dimensions of attractiveness among the variables of a formula, and how CDCL SAT solvers take advantage of them. Locality is closely related to the community structure, another important feature of application SAT benchmarks, which is indirectly achieved by this model. To the best of our knowledge, this is the first random SAT model that generates both scale-free structure and community structure at once. ; This work is partially supported by the EU H2020 Research and Innovation Programme under the LOGISTAR project (Grant Agreement No. 769142), and by the Spanish Ministry of Science, Innovation and Universities and the Spanish National Agency of Research (AEI) under the projects RASO (TIN2015-71799-C2-1-P) and EXASOCO (PGC2018-101216-B-I00), and by the Andalusian Government and the University of Granada under project AIMAR (A-TIC-284-UGR18), including European Regional Development Funds (ERDF). The first author is also supported by a MICINN Juan de la Cierva fellowship (grant FJCI-2017-32420). ; Peer reviewed
BASE
In: Index on censorship, Band 33, Heft 4, S. 31-36
ISSN: 1746-6067
THE FATHER OF LIBERATION THEOLOGY REMEMBERS THE DAY THE INQUISITION TOOK OVER
In: International migration review: IMR, Band 31, Heft 4, S. 1130-1131
ISSN: 0197-9183
In: Neue Kriminalpolitik: NK ; Forum für Kriminalwissenschaften, Recht und Praxis, Band 25, Heft 1, S. 79-92
ISSN: 0934-9200
In: Udenrigs, Heft 1, S. 41-52
ISSN: 1395-3818
I baggrundssektionen går Lasse Ellegaard bag om det tyrkiske parlamentsvalg, der ikke blot fratog den tyrkiske præsident Recep Erdogans parti, AKP, det absolutte flertal – og dermed forhindrede Erdogan i at sikre sig udvidede beføjelser til præsidentembedet – men som også for første gang bragte det kurdiske parti i parlamentet.
In: All about branches of the U.S. military
"The U.S. Coast Guard responds to about 20,000 search-and-rescue cases a year. Its members also play an important role in enforcing the nation's laws. Learn about the roles of Coast Guard members and their training, and get an inside look at the different types of ships, aircraft, and equipment this branch uses to complete its important missions around the world"--
In: Monthly Review, Band 30, Heft 6, S. 43
ISSN: 0027-0520