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dc.contributor.authorPinter, Janos D.
dc.contributor.authorKampas, F. J.
dc.date.accessioned2014-07-07T08:50:07Z
dc.date.available2014-07-07T08:50:07Z
dc.date.issued2013-04
dc.identifier.issn1863-8279
dc.identifier.urihttp://hdl.handle.net/10679/458
dc.identifier.urihttp://link.springer.com/article/10.1007%2Fs11750-011-0209-5
dc.descriptionDue to copyright restrictions, the access to the full text of this article is only available via subscription.
dc.description.abstractOur strategic objective is to develop a broadly categorized, expandable collection of test problems, to support the benchmarking of nonlinear optimization software packages in integrated technical computing environments (ITCEs). ITCEs—such as Maple, Mathematica, and MATLAB—support concise, modular and scalable model development: their built-in documentation and visualization features can be put to good use also in test model selection and analysis. ITCEs support the flexible inclusion of both new models and general-purpose solver engines for future studies. Within this broad context, in this article we review a collection of global optimization problems coded in Mathematica, and present illustrative and summarized numerical results obtained using the MathOptimizer Professional software package.en_US
dc.description.sponsorshipDRDC-Atlantic ; the National Research Council of Canada ; the University of Ballarat, Australia; Özyegin University ; the TÁMOP, Széchenyi István University
dc.language.isoengen_US
dc.publisherSpringer Science+Business Mediaen_US
dc.relation.ispartofTOP
dc.rightsrestrictedAccess
dc.titleBenchmarking nonlinear optimization software in technical computing environmentsen_US
dc.typeArticleen_US
dc.peerreviewedyesen_US
dc.publicationstatuspublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID(ORCID & YÖK ID 202094) Pinter, Janos
dc.contributor.ozuauthorPinter, Janos D.
dc.identifier.volume21
dc.identifier.issue1
dc.identifier.startpage133
dc.identifier.endpage162
dc.identifier.wosWOS:000317346100007
dc.identifier.doi10.1007/s11750-011-0209-5
dc.subject.keywordsNonlinear optimization in integrated technical computing environmentsen_US
dc.subject.keywordsOptimization software benchmarkingen_US
dc.subject.keywordsModel library in Mathematicaen_US
dc.subject.keywordsLipschitz Global Optimizer (LGO) solver suite for nonlinear optimizationen_US
dc.subject.keywordsMathOptimizer Professional (LGO linked to Mathematica)en_US
dc.subject.keywordsNumerical performance resultsen_US
dc.identifier.scopusSCOPUS:2-s2.0-84876034314
dc.contributor.authorMale1
dc.relation.publicationcategoryArticle - International Refereed Journal - Institutional Academic Staff


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