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  Toward Fast Dynamic Optimization: An Indirect Algorithm That Uses Parsimonious Input Parameterization

Aydin, E., Bonvin, D., & Sundmacher, K. (2018). Toward Fast Dynamic Optimization: An Indirect Algorithm That Uses Parsimonious Input Parameterization. Industrial & Engineering Chemistry Research, 57, 10038-10048. doi:10.1021/acs.iecr.8b02109.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0001-F516-2 Version Permalink: https://hdl.handle.net/21.11116/0000-0005-6996-C
Genre: Journal Article

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 Creators:
Aydin, Erdal1, 2, Author           
Bonvin, Dominique3, Author
Sundmacher, Kai1, 4, Author           
Affiliations:
1Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738151              
2International Max Planck Research School (IMPRS), Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738143              
3Laboratoire d’Automatique, Ecole Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland, ou_persistent22              
4Otto-von-Guericke-Universität Magdeburg, External Organizations, ou_1738156              

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Language(s): eng - English
 Dates: 2018
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1021/acs.iecr.8b02109
 Degree: -

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Title: Industrial & Engineering Chemistry Research
Source Genre: Journal
 Creator(s):
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Publ. Info: 1155 Sixteenth Street N.W. Washington, DC 20036, USA : American Chemical Society
Pages: - Volume / Issue: 57 Sequence Number: - Start / End Page: 10038 - 10048 Identifier: -