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Please use this identifier to cite or link to this item: https://research.matf.bg.ac.rs/handle/123456789/474
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dc.contributor.authorNikolić, Mladenen_US
dc.date.accessioned2022-08-13T09:51:51Z-
dc.date.available2022-08-13T09:51:51Z-
dc.date.issued2010-08-02-
dc.identifier.isbn3642141854-
dc.identifier.issn03029743en
dc.identifier.urihttps://research.matf.bg.ac.rs/handle/123456789/474-
dc.description.abstractEvaluating improvements to modern SAT solvers and comparison of two arbitrary solvers is a challenging and important task. Relative performance of two solvers is usually assessed by running them on a set of SAT instances and comparing the number of solved instances and their running time in a straightforward manner. In this paper we point to shortcomings of this approach and advocate more reliable, statistically founded methodologies that could discriminate better between good and bad ideas. We present one such methodology and illustrate its application. © 2010 Springer-Verlag.en
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en_US
dc.titleStatistical methodology for comparison of SAT solversen_US
dc.typeConference Paperen_US
dc.relation.publicationInternational Conference on Theory and Applications of Satisfiability Testing SAT 2010en_US
dc.identifier.doi10.1007/978-3-642-14186-7_18-
dc.identifier.scopus2-s2.0-77954964146-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/77954964146-
dc.contributor.affiliationInformatics and Computer Scienceen_US
dc.relation.firstpage209en_US
dc.relation.lastpage222en_US
dc.relation.volume6175 LNCSen_US
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairetypeConference Paper-
crisitem.author.deptInformatics and Computer Science-
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