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

Aydin, Erdal; Bonvin, Dominique; Sundmacher, Kai

doi:10.1021/acs.iecr.8b02109

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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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Datensatz-Permalink: https://hdl.handle.net/21.11116/0000-0001-F516-2 Versions-Permalink: https://hdl.handle.net/21.11116/0000-0005-6996-C

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Urheber:
Aydin, Erdal^{1, 2}, Autor
Bonvin, Dominique³, Autor
Sundmacher, Kai^{1, 4}, Autor

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