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dc.contributor.authorBarak, Boaz
dc.contributor.authorKelner, Jonathan Adam
dc.contributor.authorSteurer, David
dc.date.accessioned2015-01-20T20:44:21Z
dc.date.available2015-01-20T20:44:21Z
dc.date.issued2014-05
dc.identifier.isbn978-1-4503-2710-7
dc.identifier.urihttp://hdl.handle.net/1721.1/93083
dc.description.abstractWe present a general approach to rounding semidefinite programming relaxations obtained by the Sum-of-Squares method (Lasserre hierarchy). Our approach is based on using the connection between these relaxations and the Sum-of-Squares proof system to transform a combining algorithm---an algorithm that maps a distribution over solutions into a (possibly weaker) solution---into a rounding algorithm that maps a solution of the relaxation to a solution of the original problem.en_US
dc.language.isoen_US
dc.publisherAssociation for Computing Machinery (ACM)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1145/2591796.2591886en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcearXiven_US
dc.titleRounding sum-of-squares relaxationsen_US
dc.typeArticleen_US
dc.identifier.citationBoaz Barak, Jonathan A. Kelner, and David Steurer. 2014. Rounding sum-of-squares relaxations. In Proceedings of the 46th Annual ACM Symposium on Theory of Computing (STOC '14). ACM, New York, NY, USA, 31-40.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mathematicsen_US
dc.contributor.mitauthorKelner, Jonathan Adamen_US
dc.relation.journalProceedings of the 46th Annual ACM Symposium on Theory of Computing (STOC '14)en_US
dc.eprint.versionOriginal manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dspace.orderedauthorsBarak, Boaz; Kelner, Jonathan A.; Steurer, Daviden_US
dc.identifier.orcidhttps://orcid.org/0000-0002-4257-4198
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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