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Understanding the Relative Strength of QBF CDCL Solvers and QBF Resolution

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Bibliographic Details
Published in:Logical Methods in Computer Science
Format: Online Article RSS Article
Published: 2023
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container_title Logical Methods in Computer Science
description
discipline_display Engineering & Technology
discipline_facet Engineering & Technology
format Online Article
RSS Article
genre Journal Article
id rss_article:5436
institution FRELIP
journal_source_facet Logical Methods in Computer Science
publishDate 2023
publishDateSort 2023
record_format rss_article
spellingShingle Understanding the Relative Strength of QBF CDCL Solvers and QBF Resolution
Computer Science & Information Science
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display Computer Science & Information Science
Computer Science & IT
Engineering & Technology
Computer Science & Information Science
Computer Science & IT
Engineering & Technology
subject_facet Computer Science & Information Science
Computer Science & IT
Engineering & Technology
title Understanding the Relative Strength of QBF CDCL Solvers and QBF Resolution
title_auth Understanding the Relative Strength of QBF CDCL Solvers and QBF Resolution
title_full Understanding the Relative Strength of QBF CDCL Solvers and QBF Resolution
title_fullStr Understanding the Relative Strength of QBF CDCL Solvers and QBF Resolution
title_full_unstemmed Understanding the Relative Strength of QBF CDCL Solvers and QBF Resolution
title_short Understanding the Relative Strength of QBF CDCL Solvers and QBF Resolution
title_sort understanding the relative strength of qbf cdcl solvers and qbf resolution
topic Computer Science & Information Science
Computer Science & IT
Engineering & Technology
url https://doi.org/10.46298/lmcs-19(2:2)2023