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  2. Chemical and Biological Engineering

Global Optimization of Mixed-Integer Models with Quadratic and Signomial Functions: A Review

Author(s): Misener, R; Floudas, CA

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dc.contributor.authorMisener, R-
dc.contributor.authorFloudas, CA-
dc.date.accessioned2021-10-08T19:58:51Z-
dc.date.available2021-10-08T19:58:51Z-
dc.date.issued2012en_US
dc.identifier.citationMisener, Ruth, and Christodoulos A. Floudas. "Global Optimization of Mixed-Integer Models with Quadratic and Signomial Functions: A Review." Applied and Computational Mathematics 11, no. 3 (2012): 317-336.en_US
dc.identifier.issn1683-3511-
dc.identifier.urihttps://www.researchgate.net/publication/268551892_Global_optimization_of_mixed-integer_models_with_quadratic_and_signomial_functions_A_review-
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/pr13v9z-
dc.description.abstractMixed-integer quadratically-constrained quadratic programs (MIQCQP) and mixed-integer signomial optimization problems (MISO) are two important classes of mixed-integer nonconvex programs (nonconvex MINLP). This review discusses the practical applications of MIQCQP and MISO, and covers algorithms designed to globally optimize them. We also describe numerical optimization software designed to solve these classes of problems.en_US
dc.format.extent317 - 336en_US
dc.language.isoen_USen_US
dc.relation.ispartofApplied and Computational Mathematicsen_US
dc.rightsAuthor's manuscripten_US
dc.titleGlobal Optimization of Mixed-Integer Models with Quadratic and Signomial Functions: A Reviewen_US
dc.typeJournal Articleen_US
dc.identifier.eissn1683-6154-
pu.type.symplectichttp://www.symplectic.co.uk/publications/atom-terms/1.0/journal-articleen_US

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