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dc.contributor.authorBaveja, Alok
dc.contributor.authorQu, Xiaoran
dc.contributor.authorSrinivasan, Aravind
dc.date.accessioned2024-08-14T16:10:01Z
dc.date.available2024-08-14T16:10:01Z
dc.date.issued2023-03-30
dc.identifier.urihttps://hdl.handle.net/1721.1/156081
dc.description.abstractMinimizing the weighted completion time of jobs in the unrelated parallel machines model is a fundamental scheduling problem. The first (3/2−𝑐) –approximation algorithm for this problem, for some constant 𝑐>0 , was obtained in the work of Bansal et al. (SIAM J Comput, 2021). A key ingredient in this work was the first dependent-rounding algorithm with a certain guaranteed amount of negative correlation. We improve upon this guaranteed amount from 1/108 to 1/27, thus also improving upon the constant c in the algorithms of Bansal et al. and Li (SIAM J Comput, 2020) for weighted completion time. Given the now-ubiquitous role played by dependent rounding in scheduling and combinatorial optimization, our improved dependent rounding is also of independent interest.en_US
dc.publisherSpringer USen_US
dc.relation.isversionofhttps://doi.org/10.1007/s10951-023-00780-yen_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceSpringer USen_US
dc.titleApproximating weighted completion time via stronger negative correlationen_US
dc.typeArticleen_US
dc.identifier.citationBaveja, A., Qu, X. & Srinivasan, A. Approximating weighted completion time via stronger negative correlation. J Sched 27, 319–328 (2024).en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.relation.journalJournal of Schedulingen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2024-08-10T03:27:17Z
dc.language.rfc3066en
dc.rights.holderThe Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature
dspace.embargo.termsY
dspace.date.submission2024-08-10T03:27:16Z
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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