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dc.contributor.advisorBrown, Gerald G.
dc.contributor.authorDean, Dennis Ross
dc.dateSeptember 1981
dc.date.accessioned2012-11-20T00:15:58Z
dc.date.available2012-11-20T00:15:58Z
dc.date.issued1981-09
dc.identifier.urihttp://hdl.handle.net/10945/20460
dc.description.abstractThis is a comparison of two state-of-the-art large-scale nonlinear optimization systems exhibiting unprecedented problem solution capabilities both in size of problem handled and method of solution. These codes are MINDS, developed by B. A. Murtagh and M. A. Saunders, and XS, developed by G. G. Brown and G. W. Graves. The codes are evaluated with respect to their problem solving capabilities and potential for practical application by analysts. Computational results are presented for thirteen nonlinear and nonlinear mixed integer test problems with from two to 793 variables (12 to 100 integer variables) and one to 401 constraints. Portions of this work were presented at the CORS/ORSA/TIMS joint meeting in Toronto, May 1981.en_US
dc.description.urihttp://archive.org/details/computationaldva1094520460
dc.language.isoen_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.titleComputational advances in large-scale nonlinear optimizationen_US
dc.typeThesisen_US
dc.contributor.secondreaderGraves, Glenn W.
dc.contributor.corporateNaval Postgraduate School (U.S.)
dc.contributor.departmentDepartment of Operations Research
dc.subject.authorLarge-scale nonlinear programmingen_US
dc.subject.authorOptimizationen_US
dc.subject.authorLarge scale linear programmingen_US
dc.subject.authorMixed integer programmingen_US
dc.subject.authorAlgorithm evaluationen_US
dc.subject.authorNonlinear test problemsen_US
dc.description.serviceLieutenant Commander, United States Navyen_US
etd.thesisdegree.nameM.S. in Operations Researchen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineOperations Researchen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
dc.description.distributionstatementApproved for public release; distribution is unlimited.


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