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.
|Original language||English (US)|
|Number of pages||10|
|Journal||Computers & Chemical Engineering|
|State||Published - May 2010|
Bibliographical noteKAUST Repository Item: Exported on 2020-10-01
Acknowledgements: 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.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.