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Gölz, C., Voelcker-Rehage, C., Mora, K., Reuter, E.-M., Godde, B., Dellnitz, M.,https://doi.org/10.3389/fphys.2018.01540__Vieluf, S. (2018). Improved Neural Control of Movements Manifests in Expertise-Related Differences in Force Output and Brain Network Dynamics. Frontiers in Physiology.https://doi.org/10.3389/fphys.2018.01540 
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Vieluf, S., Mora, K., Gölz, C., Reuter, E.-M., Godde, B., Dellnitz, M.,https://doi.org/10.1016/j.neuroscience.2018.07.025__Voelcker-Rehage, C. (2018). Age- and Expertise-Related Differences of Sensorimotor Network Dynamics during Force Control. Neuroscience, 203–213.https://doi.org/10.1016/j.neuroscience.2018.07.025 
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Bittracher, A., Koltai, P., Klus, S., Banisch, R., Dellnitz, M., &; Schütte, C. (2018). Transition Manifolds of Complex Metastable Systems. Journal of Nonlinear Science, 28, 471–512.https://doi.org/10.1007/s00332-017-9415-0 
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Peitz, S. (2018). Controlling nonlinear PDEs using low-dimensional bilinear approximations  obtained from data. ArXiv:1801.06419.
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Klus, S., Peitz, S., &; Schuster, I. (2018). Analyzing high-dimensional time-series data using kernel transfer  operator eigenfunctions. ArXiv:1805.10118.
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Fiol, M. A., Mazzuoccolo, G., &; Steffen, E. (2018). Measures of Edge-Uncolorability of Cubic Graphs. The Electronic Journal of Combinatorics, 25(4).
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Jin, L., Mazzuoccolo, G., &; Steffen, E. (2018). Cores, joins  and the Fano-flow conjectures. Discussiones Mathematicae Graph Theory, 38, 165–175.https://doi.org/10.7151/dmgt.1999 
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Steffen, E. (2018). Approximating Vizing’s independence number conjecture. Australasian Journal of Combinatorics, 71(1), 153–160.
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Peitz, S., Ober-Blöbaum, S., &; Dellnitz, M. (2018). Multiobjective Optimal Control Methods for the Navier-Stokes Equations Using Reduced Order Modeling. Acta Applicandae Mathematicae, 161(1), 171–199.https://doi.org/10.1007/s10440-018-0209-7 
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Jiménez, F., &; Ober-Blöbaum, S. (2018). Necessary optimality conditions for optimally controlled dissipative mechanical systems modelled through fractional derivatives. 6th European Conference on Computational Mechanics.
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Jiménez, F., &; Ober-Blöbaum, S. (2018). A fractional variational approach for modelling dissipative mechanical systems continuous and discrete settings. In IFAC-PapersOnLine (Ed.), 6th IFAC Workshop on Lagrangian and Hamiltonian Methods for Nonlinear Control LHMNC 2018: Vol. 51(3) (pp. 50–55).
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Elsenhans, A.-S., &; Klüners, J. (2018). Computing subfields of number fields and applications to Galois group computations. Journal of Symbolic Computation, 93, 1–20.https://doi.org/10.1016/j.jsc.2018.04.013 
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Kirschmer, M., &; Nebe, G. (2018). One Class Genera of Lattice Chains Over Number Fields. In Algorithmic and Experimental Methods in Algebra, Geometry, and Number Theory. Springer International Publishing.https://doi.org/10.1007/978-3-319-70566-8_22 
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Kirschmer, M. (2018). One-class genera of exceptional groups over number fields. Journal de Théorie Des Nombres de Bordeaux, 30(3), 847–857.https://doi.org/10.5802/jtnb.1052 
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Jurgelucks, B., Claes, L., Walther, A., &; Henning, B. (2018). Optimization of triple-ring electrodes on piezoceramic transducers using algorithmic differentiation. Optimization Methods and Software, 33(4–6), 868--888.https://doi.org/10.1080/10556788.2018.1435652 
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Offen, C. (n.d.). Local intersections of Lagrangian manifolds correspond to catastrophe  theory. In arXiv:1811.10165.
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McLachlan, R. I., &; Offen, C. (2018). Hamiltonian boundary value problems, conformal symplectic symmetries, and conjugate loci. New Zealand Journal of Mathematics, 48, 83–99.https://doi.org/10.53733/34  
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arXiv: 1804.07479

Kovács, B. (2018). Numerical analysis of partial differential equations on and of evolving surfaces.
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Karátson, J., Kovács, B., &; Korotov, S. (2018). Discrete maximum principles for nonlinear elliptic finite element problems on surfaces with boundary. IMA Journal of Numerical Analysis, 40(2), 1241–1265.https://doi.org/10.1093/imanum/dry086 
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