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  • 标题:Verified Analysis of List Update Algorithms
  • 本地全文:下载
  • 作者:Maximilian P. L. Haslbeck ; Tobias Nipkow
  • 期刊名称:LIPIcs : Leibniz International Proceedings in Informatics
  • 电子版ISSN:1868-8969
  • 出版年度:2016
  • 卷号:65
  • 页码:49:1-49:15
  • DOI:10.4230/LIPIcs.FSTTCS.2016.49
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要:This paper presents a machine-verified analysis of a number of classical algorithms for the list update problem: 2-competitiveness of move-to-front, the lower bound of 2 for the competitiveness of deterministic list update algorithms and 1.6-competitiveness of the randomized COMB algorithm, the best randomized list update algorithm known to date. The analysis is verified with help of the theorem prover Isabelle; some low-level proofs could be automated.
  • 关键词:Program Verification; Algorithm Analysis; Online Algorithms
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