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dc.contributor.authorVielma, Juan Pablo
dc.date.accessioned2015-04-08T20:35:46Z
dc.date.available2015-04-08T20:35:46Z
dc.date.issued2015-02
dc.date.submitted2014-07
dc.identifier.issn0036-1445
dc.identifier.issn1095-7200
dc.identifier.urihttp://hdl.handle.net/1721.1/96480
dc.description.abstractA wide range of problems can be modeled as Mixed Integer Linear Programming (MIP) problems using standard formulation techniques. However, in some cases the resulting MIP can be either too weak or too large to be effectively solved by state of the art solvers. In this survey we review advanced MIP formulation techniques that result in stronger and/or smaller formulations for a wide class of problems.en_US
dc.language.isoen_US
dc.publisherSociety for Industrial and Applied Mathematicsen_US
dc.relation.isversionofhttp://dx.doi.org/10.1137/130915303en_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.sourceSociety for Industrial and Applied Mathematicsen_US
dc.titleMixed Integer Linear Programming Formulation Techniquesen_US
dc.typeArticleen_US
dc.identifier.citationVielma, Juan Pablo. “Mixed Integer Linear Programming Formulation Techniques.” SIAM Review 57, no. 1 (January 2015): 3–57. © 2015 Society for Industrial and Applied Mathematicsen_US
dc.contributor.departmentSloan School of Managementen_US
dc.contributor.mitauthorVielma, Juan Pabloen_US
dc.relation.journalSIAM Reviewen_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.orderedauthorsVielma, Juan Pabloen_US
dc.identifier.orcidhttps://orcid.org/0000-0003-4335-7248
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


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