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Random knapsacks with many constraints

dc.contributor.authorSchilling, Kenneth E.en_US
dc.date.accessioned2006-04-10T18:23:21Z
dc.date.available2006-04-10T18:23:21Z
dc.date.issued1994-01-26en_US
dc.identifier.citationSchilling, Kenneth (1994/01/26)."Random knapsacks with many constraints." Discrete Applied Mathematics 48(2): 163-174. <http://hdl.handle.net/2027.42/31825>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6TYW-45GVXJK-2N/2/13bfd0423ccffccb93f931c590c9c8a0en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/31825
dc.description.abstractWe provide new results on asymptotic values for the random knapsack problem. For a very general model in which the parameters are determined by a rather arbitrary joint distribution, we compute the rate of growth as the number of objects increases, the number of constraints being fixed. For a particular model, we find strong bounds on the asymptotic value as the numbers of objects and constraints increase together.en_US
dc.format.extent569877 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleRandom knapsacks with many constraintsen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelMathematicsen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Mathematics, University of Michigan-Flint, Flint, MI 48503, USAen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/31825/1/0000772.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0166-218X(92)00125-6en_US
dc.identifier.sourceDiscrete Applied Mathematicsen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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