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A Faithful and Quantitative Notion of Distant Reduction for the Lambda-Calculus with Generalized Applications

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Published in:Logical Methods in Computer Science
Format: Online Article RSS Article
Published: 2024
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container_title Logical Methods in Computer Science
description
discipline_display Engineering & Technology
discipline_facet Engineering & Technology
format Online Article
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genre Journal Article
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institution FRELIP
journal_source_facet Logical Methods in Computer Science
publishDate 2024
publishDateSort 2024
record_format rss_article
spellingShingle A Faithful and Quantitative Notion of Distant Reduction for the Lambda-Calculus with Generalized Applications
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 A Faithful and Quantitative Notion of Distant Reduction for the Lambda-Calculus with Generalized Applications
title_auth A Faithful and Quantitative Notion of Distant Reduction for the Lambda-Calculus with Generalized Applications
title_full A Faithful and Quantitative Notion of Distant Reduction for the Lambda-Calculus with Generalized Applications
title_fullStr A Faithful and Quantitative Notion of Distant Reduction for the Lambda-Calculus with Generalized Applications
title_full_unstemmed A Faithful and Quantitative Notion of Distant Reduction for the Lambda-Calculus with Generalized Applications
title_short A Faithful and Quantitative Notion of Distant Reduction for the Lambda-Calculus with Generalized Applications
title_sort a faithful and quantitative notion of distant reduction for the lambda-calculus with generalized applications
topic Computer Science & Information Science
Computer Science & IT
Engineering & Technology
url https://doi.org/10.46298/lmcs-20(3:10)2024