Recent advances in multiparametric nonlinear programming

Luis F. Domínguez; Diogo A. Narciso; Efstratios N. Pistikopoulos

doi:10.1016/j.compchemeng.2009.10.012

Recent advances in multiparametric nonlinear programming

Luis F. Domínguez, Diogo A. Narciso, Efstratios N. Pistikopoulos

Research output: Contribution to journal › Article › peer-review

43 Scopus citations

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.

Original language	English (US)
Pages (from-to)	707-716
Number of pages	10
Journal	Computers & Chemical Engineering
Volume	34
Issue number	5
DOIs	https://doi.org/10.1016/j.compchemeng.2009.10.012
State	Published - May 2010
Externally published	Yes

Bibliographical note

KAUST 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.

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10.1016/j.compchemeng.2009.10.012

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title = "Recent advances in multiparametric nonlinear programming",

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. {\textcopyright} 2009 Elsevier Ltd. All rights reserved.",

author = "Dom{\'i}nguez, {Luis F.} and Narciso, {Diogo A.} and Pistikopoulos, {Efstratios N.}",

note = "KAUST 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.",

year = "2010",

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doi = "10.1016/j.compchemeng.2009.10.012",

language = "English (US)",

volume = "34",

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AU - Domínguez, Luis F.

AU - Narciso, Diogo A.

AU - Pistikopoulos, Efstratios N.

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N2 - 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.

AB - 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.

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VL - 34

SP - 707

EP - 716

JO - Computers & Chemical Engineering

JF - Computers & Chemical Engineering

IS - 5

ER -

Recent advances in multiparametric nonlinear programming

Abstract

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