Recent advances in multiparametric nonlinear programming
dc.contributor.author | Domínguez, Luis F. | |
dc.contributor.author | Narciso, Diogo A. | |
dc.contributor.author | Pistikopoulos, Efstratios N. | |
dc.date.accessioned | 2016-02-28T05:51:32Z | |
dc.date.available | 2016-02-28T05:51:32Z | |
dc.date.issued | 2010-05 | |
dc.identifier.citation | Domínguez 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.issn | 0098-1354 | |
dc.identifier.doi | 10.1016/j.compchemeng.2009.10.012 | |
dc.identifier.uri | http://hdl.handle.net/10754/599459 | |
dc.description.abstract | In 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.sponsorship | Financial 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.publisher | Elsevier BV | |
dc.subject | Convex problems | |
dc.subject | Multiparametric nonlinear programming | |
dc.subject | Multiparametric programming | |
dc.subject | Non-convex problems | |
dc.title | Recent advances in multiparametric nonlinear programming | |
dc.type | Article | |
dc.identifier.journal | Computers & Chemical Engineering | |
dc.contributor.institution | Imperial College London, London, United Kingdom |