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Size, Cost, and Capacity: A Semantic Technique for Hard Random QBFs

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Bibliographic Details
Published in:Logical Methods in Computer Science
Format: Online Article RSS Article
Published: 2019
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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:5858
institution FRELIP
journal_source_facet Logical Methods in Computer Science
publishDate 2019
publishDateSort 2019
record_format rss_article
spellingShingle Size, Cost, and Capacity: A Semantic Technique for Hard Random QBFs
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 Size, Cost, and Capacity: A Semantic Technique for Hard Random QBFs
title_auth Size, Cost, and Capacity: A Semantic Technique for Hard Random QBFs
title_full Size, Cost, and Capacity: A Semantic Technique for Hard Random QBFs
title_fullStr Size, Cost, and Capacity: A Semantic Technique for Hard Random QBFs
title_full_unstemmed Size, Cost, and Capacity: A Semantic Technique for Hard Random QBFs
title_short Size, Cost, and Capacity: A Semantic Technique for Hard Random QBFs
title_sort size, cost, and capacity: a semantic technique for hard random qbfs
topic Computer Science & Information Science
Computer Science & IT
Engineering & Technology
url https://doi.org/10.23638/LMCS-15(1:13)2019