Numerical simulation of differential-algebraic equations with embedded global optimization criteria
Author:
Affiliation:
1. Informatik 12: Software and Tools for Computational Engineering, RWTH Aachen University, Aachen, Germany
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/10556788.2024.2368569
Reference29 articles.
1. Gibbs energy analysis of phase equilibria;Baker L.E.;SPE J.,1982
2. D. Bongartz J. Najman S. Sass and A. Mitsos MAiNGO—McCormick-based algorithm for mixed-integer nonlinear global optimization Technical report Process Systems Engineering (AVT.SVT) RWTH Aachen University 2018. Available at: http://www.avt.rwth-aachen.de/global/show_document.asp?id=aaaaaaaaabclahw.
3. S.P. Boyd and L. Vandenberghe, Convex Optimization, Cambridge University Press, Cambridge, 2004.
4. L.T. Biegler, Nonlinear Programming—Concepts, Algorithms, and Applications to Chemical Processes, SIAM, Philadelphia, PA, 2010.
5. Adjoint sensitivity analysis for differential-algebraic equations: The adjoint DAE system and its numerical solution;Cao Y.;SIAM J. Sci. Comput.,2003
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