Please use this identifier to cite or link to this item: http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/7768
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dc.contributor.authorGadgil, Siddharthaen_US
dc.contributor.authorTADIPATRI, ANANDen_US
dc.date.accessioned2023-04-27T10:11:19Z-
dc.date.available2023-04-27T10:11:19Z-
dc.date.issued2022-05en_US
dc.identifier.citationResonance, 27(5), 801–816.en_US
dc.identifier.issn0971-8044en_US
dc.identifier.issn0973-712Xen_US
dc.identifier.urihttps://doi.org/10.1007/s12045-022-1373-7en_US
dc.identifier.urihttp://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/7768-
dc.description.abstractTarski showed in the 1950s that (first-order) questions in Euclidean geometry could be answered algorithmically. Algorithms for doing this have greatly improved over the decades but still have high complexity (in terms of time taken). We experiment using state-of-the-art software, specifically so-called SMT Solvers, to see how practical it is to prove classical Euclidean geometry results in this way.en_US
dc.language.isoenen_US
dc.publisherIndian Academy of Sciencesen_US
dc.subjectAutomated theorem provingen_US
dc.subjectEuclidean geometryen_US
dc.subjectSMT solversen_US
dc.subject2022en_US
dc.titleEuclidean Geometry by High-performance Solvers?en_US
dc.typeArticleen_US
dc.contributor.departmentDept. of Mathematicsen_US
dc.identifier.sourcetitleResonanceen_US
dc.publication.originofpublisherIndianen_US
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