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Recent advances in multiparametric nonlinear programming

dc.contributor.authorDomínguez, Luis F.
dc.contributor.authorNarciso, Diogo A.
dc.contributor.authorPistikopoulos, Efstratios N.
dc.date.accessioned2016-02-28T05:51:32Z
dc.date.available2016-02-28T05:51:32Z
dc.date.issued2010-05
dc.identifier.citationDomínguez LF, Narciso DA, Pistikopoulos EN (2010) Recent advances in multiparametric nonlinear programming. Computers & Chemical Engineering 34: 707–716. Available: http://dx.doi.org/10.1016/j.compchemeng.2009.10.012.
dc.identifier.issn0098-1354
dc.identifier.doi10.1016/j.compchemeng.2009.10.012
dc.identifier.urihttp://hdl.handle.net/10754/599459
dc.description.abstractIn this paper, we present recent developments in multiparametric nonlinear programming. For the case of convex problems, we highlight key issues regarding the full characterization of the parametric solution space and we discuss, through an illustrative example problem, four alternative state-of-the-art multiparametric nonlinear programming algorithms. We also identify a number of main challenges for the non-convex case and highlight future research directions. © 2009 Elsevier Ltd. All rights reserved.
dc.description.sponsorshipFinancial support from the Mexican Council for Science and Technology (CONACyT), European Union (PROMATCH Marie Curie MRTN-CT-2004-512441), European Research Council (MOBILE, ERC Advanced Grant, No: 226462), KAUST and the CPSE Industrial Consortium is gratefully acknowledged.
dc.publisherElsevier BV
dc.subjectConvex problems
dc.subjectMultiparametric nonlinear programming
dc.subjectMultiparametric programming
dc.subjectNon-convex problems
dc.titleRecent advances in multiparametric nonlinear programming
dc.typeArticle
dc.identifier.journalComputers & Chemical Engineering
dc.contributor.institutionImperial College London, London, United Kingdom


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