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dc.contributor.authorMosk-Aoyama, Damon
dc.contributor.authorRoughgarden, Tim
dc.contributor.authorShah, Devavrat
dc.date.accessioned2011-07-29T21:17:19Z
dc.date.available2011-07-29T21:17:19Z
dc.date.issued2010-10
dc.date.submitted2008-12
dc.identifier.issn1052-6234
dc.identifier.issn1095-7189
dc.identifier.urihttp://hdl.handle.net/1721.1/64996
dc.description.abstractWe design and analyze a fully distributed algorithm for convex constrained optimization in networks without any consistent naming infrastructure. The algorithm produces an approximately feasible and near-optimal solution in time polynomial in the network size, the inverse of the permitted error, and a measure of curvature variation in the dual optimization problem. It blends, in a novel way, gossip-based information spreading, iterative gradient ascent, and the barrier method from the design of interior-point algorithms.en_US
dc.language.isoen_US
dc.publisherSociety for Industrial and Applied Mathematics (SIAM)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1137/080743706en_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.sourceSIAMen_US
dc.titleFULLY DISTRIBUTED ALGORITHMS FOR CONVEX OPTIMIZATION PROBLEMSen_US
dc.typeArticleen_US
dc.identifier.citationMosk-Aoyama, Damon, Tim Roughgarden, and Devavrat Shah. “Fully Distributed Algorithms for Convex Optimization Problems.” SIAM Journal on Optimization 20.6 (2010) : 3260. © 2010 Society for Industrial and Applied Mathematicsen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Laboratory for Information and Decision Systemsen_US
dc.contributor.approverShah, Devavrat
dc.contributor.mitauthorShah, Devavrat
dc.relation.journalSIAM Journal on Optimizationen_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.orderedauthorsMosk-Aoyama, Damon; Roughgarden, Tim; Shah, Devavraten
dc.identifier.orcidhttps://orcid.org/0000-0003-0737-3259
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


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