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dc.contributor.authorSousa Bandeira, Afonso Jose
dc.date.accessioned2017-06-16T20:14:55Z
dc.date.available2017-06-16T20:14:55Z
dc.date.issued2016-04
dc.identifier.issn0027-8424
dc.identifier.issn1091-6490
dc.identifier.urihttp://hdl.handle.net/1721.1/109985
dc.description.abstractInference problems on graphs arise naturally when trying to make sense of network data. Oftentimes, these problems are formulated as intractable optimization programs. This renders the need for fast heuristics to find adequate solutions and for the study of their performance. For a certain class of problems, Javanmard et al. (1) successfully use tools from statistical physics to analyze the performance of semidefinite programming relaxations, an important heuristic for intractable problems.en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (Grant DMS- 1317308)en_US
dc.language.isoen_US
dc.publisherNational Academy of Sciences (U.S.)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1073/pnas.1603405113en_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.sourcePNASen_US
dc.titleInference on graphs via semidefinite programmingen_US
dc.typeArticleen_US
dc.identifier.citationBandeira, Afonso S. “Inference on Graphs via Semidefinite Programming.” Proceedings of the National Academy of Sciences 113, no. 16 (April 8, 2016): 4238–4239. © 2017 National Academy of Sciencesen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mathematicsen_US
dc.contributor.mitauthorSousa Bandeira, Afonso Jose
dc.relation.journalProceedings of the National Academy of Sciences of the United States of Americaen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsBandeira, Afonso S.en_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-7331-7557
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


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