Michael Hinze is affiliated with the University of Koblenz and Landau in Germany. The primary areas of their research lie within Engineering and Computer Science, focusing on topics such as Advanced Numerical Methods in Computational Mathematics, Model Reduction and Neural Networks, and Advanced Mathematical Modeling in Engineering.
Their work spans several subfields including Computational Mechanics, Computational Theory and Mathematics, Statistical and Nonlinear Physics, Civil and Structural Engineering, and Numerical Analysis.
Frequent publication venues for their research include arXiv (Cornell University) with 11 papers, the Mathematical Control and Related Fields with 2 papers, and singular contributions to ESAIM Control Optimisation and Calculus of Variations, Computer Physics Communications, and the Journal of Computational Physics.
Hinze's most recent papers demonstrate a strong focus on fluid dynamics and computational methods:
Hinze has coauthored frequently with several researchers, including Klaus Deckelnick, Thomas Rung, Philip J. Herbert, Niklas Kühl, and Evelyn Herberg.
In addition to journal publications, Hinze has contributed to the literature through book publications with Springer Nature. Notable titles include Model Reduction of Complex Dynamical Systems (2021) and Model Order Reduction and Applications (2023).
Michael Hinze;Rene Pinnau;Michael Ulbrich;Stefan Ulbrich
M. Hinze
Michael Hinze;Stefan Volkwein
Michael Hinze;Karl Kunisch
Klaus Deckelnick;Michael Hinze
Michael Hinze
Haecheon Choi;Michael Hinze;Karl Kunisch
Klaus Deckelnick;Andreas Günther;Michael Hinze
M. Hinze;S. Volkwein
Peter Benner;Michael Hinze;E. Jan W. ter Maten
M. Hinze;S. Volkwein
Michael Hinze;Stefan Ziegenbalg
Michael Hintermüller;Michael Hinze
Harald Garcke;Michael Hinze;Christian Kahle
M. Hintermuller;M. Hinze;M. H. Tber
M. Hintermüller;M. Hinze
Michael Hinze;Karl Kunisch
Michael Hinze;Karl Kunisch
Klaus Deckelnick;Michael Hinze
Michael Hinze
Michael Hinze;Stefan Ziegenbalg
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