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dc.contributor.authorSudan, Madhu
dc.date.accessioned2010-03-04T19:32:53Z
dc.date.available2010-03-04T19:32:53Z
dc.date.issued2009-03
dc.identifier.issn0001-0782
dc.identifier.urihttp://hdl.handle.net/1721.1/52308
dc.description.abstractCan a proof be checked without reading it? That certainly seems impossible, no matter how much reviewers of mathematical papers may wish for this. But theoretical computer science has shown that we can get very close to this objective! Namely random consistency checks could reveal errors in proofs, provided one is careful in choosing the format in which proofs should be written. In this article we explain this notion, constructions of such probabilistically checkable proofs, and why this is important to all of combinatorial optimization.en
dc.description.sponsorshipNational Science Foundation (Awards CCR-0726525 and CCR-0829672)en
dc.language.isoen_US
dc.publisherAssociation for Computing Machineryen
dc.relation.isversionofhttp://dx.doi.org/10.1145/1467247.1467267en
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
dc.sourceJoanne Hanleyen
dc.titleProbabilistically checkable proofsen
dc.typeArticleen
dc.identifier.citationSudan, Madhu. “Probabilistically checkable proofs.” Commun. ACM 52.3 (2009): 76-84.en
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.approverSudan, Madhu
dc.contributor.mitauthorSudan, Madhu
dc.relation.journalCommunications of the ACMen
dc.eprint.versionAuthor's final manuscript
dc.type.urihttp://purl.org/eprint/type/SubmittedJournalArticleen
eprint.statushttp://purl.org/eprint/status/PeerRevieweden
dspace.orderedauthorsSudan, Madhuen
mit.licensePUBLISHER_POLICYen
mit.metadata.statusComplete


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