License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.FSTTCS.2016.49
URN: urn:nbn:de:0030-drops-68849
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2016/6884/
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Haslbeck, Maximilian P. L. ; Nipkow, Tobias

Verified Analysis of List Update Algorithms

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LIPIcs-FSTTCS-2016-49.pdf (0.6 MB)


Abstract

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.

BibTeX - Entry

@InProceedings{haslbeck_et_al:LIPIcs:2016:6884,
  author =	{Maximilian P. L. Haslbeck and Tobias Nipkow},
  title =	{{Verified Analysis of List Update Algorithms}},
  booktitle =	{36th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2016)},
  pages =	{49:1--49:15},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-027-9},
  ISSN =	{1868-8969},
  year =	{2016},
  volume =	{65},
  editor =	{Akash Lal and S. Akshay and Saket Saurabh and Sandeep Sen},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2016/6884},
  URN =		{urn:nbn:de:0030-drops-68849},
  doi =		{10.4230/LIPIcs.FSTTCS.2016.49},
  annote =	{Keywords: Program Verification, Algorithm Analysis, Online Algorithms}
}

Keywords: Program Verification, Algorithm Analysis, Online Algorithms
Collection: 36th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2016)
Issue Date: 2016
Date of publication: 10.12.2016


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