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Fragile complexity of comparison-based algorithms

  • Aarhus Universitet
  • IT-Universitetet i København
  • Eindhoven University of Technology
  • Goethe University Frankfurt
  • University of Hawaii System
  • University of Gothenburg

Publikation: Kapitel i bog/rapport/konference-proceeding › Konferencebidrag i proceedings › Forskning › peer review

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Abstract

We initiate a study of algorithms with a focus on the computational complexity of individual elements, and introduce the fragile complexity of comparison-based algorithms as the maximal number of comparisons any individual element takes part in. We give a number of upper and lower bounds on the fragile complexity for fundamental problems, including Minimum, Selection, Sorting and Heap Construction. The results include both deterministic and randomized upper and lower bounds, and demonstrate a separation between the two settings for a number of problems. The depth of a comparator network is a straight-forward upper bound on the worst case fragile complexity of the corresponding fragile algorithm. We prove that fragile complexity is a different and strictly easier property than the depth of comparator networks, in the sense that for some problems a fragile complexity equal to the best network depth can be achieved with less total work and that with randomization, even a lower fragile complexity is possible.

OriginalsprogEngelsk
TitelProceedings of 27th Annual European Symposium on Algorithms, ESA 2019
RedaktørerMichael A. Bender, Ola Svensson, Grzegorz Herman
Antal sider19
ForlagSchloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
Publikationsdato1. sep. 2019
Sider2:1-2:19
Artikelnummer2
ISBN (Elektronisk)9783959771245
DOI
StatusUdgivet - 1. sep. 2019
Begivenhed27th Annual European Symposium on Algorithms, ESA 2019 - Munich/Garching, Tyskland
Varighed: 9. sep. 2019 → 11. sep. 2019

Konference

Konference27th Annual European Symposium on Algorithms, ESA 2019
Land/OmrådeTyskland
ByMunich/Garching
Periode09/09/2019 → 11/09/2019
NavnLeibniz International Proceedings in Informatics
Vol/bind144
ISSN1868-8969

Finansiering

∗ This material is based upon work partially performed while attending AlgoPARC Workshop on Parallel Algorithms and Data Structures at the University of Hawaii at Manoa, in part supported by the National Science Foundation under Grant No. CCF-1745331. Funding Rolf Fagerberg: Supported by the Independent Research Fund Denmark, Natural Sciences, grant DFF-7014-00041. David Hammer: Supported by the Deutsche Forschungsgemeinschaft (DFG) under grants ME 2088/3-2 and ME 2088/4-2. Ulrich Meyer: Supported by the Deutsche Forschungsgemeinschaft (DFG) under grants ME 2088/3-2 and ME 2088/4-2. Manuel Penschuck: Supported by the Deutsche Forschungsgemeinschaft (DFG) under grants ME 2088/3-2 and ME 2088/4-2. Nodari Sitchinava: Supported by the National Science Foundation under Grant No. CCF-1533823.

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