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  A Fully Polynomial-Time Approximation Scheme for Speed Scaling with Sleep State

Antoniadis, A., Huang, C.-C., & Ott, S. (2019). A Fully Polynomial-Time Approximation Scheme for Speed Scaling with Sleep State. Algorithmica, 81(9), 3725 -3745. doi:10.1007/s00453-019-00596-3.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0004-AAC7-C Version Permalink: http://hdl.handle.net/21.11116/0000-0004-AAC8-B
Genre: Journal Article

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Antoniadis2019_Article_AFullyPolynomial-TimeApproxima.pdf (Publisher version), 377KB
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© The Author(s) 2019 This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

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 Creators:
Antoniadis, Antonios1, Author              
Huang, Chien-Chung2, Author              
Ott, Sebastian1, Author              
Affiliations:
1Algorithms and Complexity, MPI for Informatics, Max Planck Society, ou_24019              
2External Organizations, ou_persistent22              

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Language(s): eng - English
 Dates: 20192019
 Publication Status: Published in print
 Pages: 15 p.
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 Table of Contents: -
 Rev. Method: -
 Identifiers: BibTex Citekey: Antoniadis2019
DOI: 10.1007/s00453-019-00596-3
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Title: Algorithmica
Source Genre: Journal
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Publ. Info: New York, NY : Springer
Pages: - Volume / Issue: 81 (9) Sequence Number: - Start / End Page: 3725 - 3745 Identifier: ISSN: 0178-4617
CoNE: https://pure.mpg.de/cone/journals/resource/954925487793