使用证明项的快速删减:实证研究

CoRR Pub Date : 2018-10-17 DOI:10.4204/EPTCS.281.3
Gabriel Ebner
{"title":"使用证明项的快速删减:实证研究","authors":"Gabriel Ebner","doi":"10.4204/EPTCS.281.3","DOIUrl":null,"url":null,"abstract":"Urban and Bierman introduced a calculus of proof terms for the sequent calculus LK with a strongly normalizing reduction relation. We extend this calculus to simply-typed higher-order logic with inferences for induction and equality, albeit without strong normalization. We implement thiscalculus in GAPT, our library for proof transformations. Evaluating the normalization on both artificial and real-world benchmarks, we show that this algorithm is typically several orders of magnitude faster than the existing Gentzen-like cut-reduction, and an order of magnitude faster than any other cut-elimination procedure implemented in GAPT.","PeriodicalId":10720,"journal":{"name":"CoRR","volume":"16 1","pages":"24-38"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fast Cut-Elimination using Proof Terms: An Empirical Study\",\"authors\":\"Gabriel Ebner\",\"doi\":\"10.4204/EPTCS.281.3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Urban and Bierman introduced a calculus of proof terms for the sequent calculus LK with a strongly normalizing reduction relation. We extend this calculus to simply-typed higher-order logic with inferences for induction and equality, albeit without strong normalization. We implement thiscalculus in GAPT, our library for proof transformations. Evaluating the normalization on both artificial and real-world benchmarks, we show that this algorithm is typically several orders of magnitude faster than the existing Gentzen-like cut-reduction, and an order of magnitude faster than any other cut-elimination procedure implemented in GAPT.\",\"PeriodicalId\":10720,\"journal\":{\"name\":\"CoRR\",\"volume\":\"16 1\",\"pages\":\"24-38\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"CoRR\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4204/EPTCS.281.3\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"CoRR","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4204/EPTCS.281.3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

Urban和Bierman为具有强归一化约化关系的序列微积分LK引入了证明项的演算。我们将这个演算扩展到具有归纳和相等推理的简单类型高阶逻辑,尽管没有强规范化。我们在GAPT中实现了这个演算,GAPT是我们的证明转换库。在人工和现实世界的基准上评估归一化,我们表明该算法通常比现有的genzen -like cut-reduction快几个数量级,比GAPT中实现的任何其他cut-elimination过程快一个数量级。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fast Cut-Elimination using Proof Terms: An Empirical Study
Urban and Bierman introduced a calculus of proof terms for the sequent calculus LK with a strongly normalizing reduction relation. We extend this calculus to simply-typed higher-order logic with inferences for induction and equality, albeit without strong normalization. We implement thiscalculus in GAPT, our library for proof transformations. Evaluating the normalization on both artificial and real-world benchmarks, we show that this algorithm is typically several orders of magnitude faster than the existing Gentzen-like cut-reduction, and an order of magnitude faster than any other cut-elimination procedure implemented in GAPT.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信