Ober-Blöbaum, Sina, and Sebastian Peitz. “Explicit Multiobjective Model Predictive Control for Nonlinear Systems  with Symmetries.”10.1002/rnc.5281__International Journal of Robust and Nonlinear Control, vol. 31(2), 2021, pp. 380–403, doi:10.1002/rnc.5281.

Djema, Walid, et al. “Turnpike Features in Optimal Selection of Species Represented by Quota Models.”10.1016/j.automatica.2021.109804__Automatica, vol. 132, 109804, Elsevier BV, 2021, doi:10.1016/j.automatica.2021.109804.

Li, Jiaao, et al. “On 3-Flow-Critical Graphs.”10.1016/j.ejc.2021.103451__European Journal of Combinatorics, vol. 100, 103451, Elsevier BV, 2021, doi:10.1016/j.ejc.2021.103451.

Klüners, Jürgen, and Toru Komatsu. “Imaginary Multiquadratic Number Fields with Class Group of Exponent $ and $.”10.1090/mcom/3609__Mathematics of Computation, vol. 90, no. 329, American Mathematical Society (AMS), 2021, pp. 1483–97, doi:10.1090/mcom/3609.

Kirschmer, Markus, et al. “Spanning the Isogeny Class of a Power of an Elliptic Curve.”10.1090/mcom/3672__Mathematics of Computation, vol. 91, no. 333, American Mathematical Society (AMS), 2021, pp. 401–49, doi:10.1090/mcom/3672.

Offen, Christian, and Sina Ober-Blöbaum. Bifurcation Preserving Discretisations of Optimal Control Problems. 2021, pp. 334–39, doi:https://doi.org/10.1016/j.ifacol.2021.11.099.

Ridderbusch, Steffen, et al. “Learning ODE Models with Qualitative Structure Using Gaussian Processes .”10.1109/CDC45484.2021.9683426__2021 60th IEEE Conference on Decision and Control (CDC), IEEE, 2021, p. 2896, doi:10.1109/CDC45484.2021.9683426.

Vertovec, Nikolaus, et al. Multi-Objective Minimum Time Optimal Control for Low-Thrust Trajectory Design. pp. 1975–80.

Jiménez, F., and Sina Ober-Blöbaum. “Fractional Damping Through Restricted Calculus of Variations.” Nichtlineare Sci 31, vol. 46, 2021.

Binz, Tim, and Balázs Kovács. “A Convergent Finite Element Algorithm for Mean Curvature Flow in Higher Codimension.” ArXiv, 2021.

Binz, Tim, and Balázs Kovács. “A Convergent Finite Element Algorithm for Generalized Mean Curvature Flows of Closed Surfaces.”10.1093/imanum/drab043__IMA Journal of Numerical Analysis, vol. 42, no. 3, Oxford University Press (OUP), 2021, pp. 2545–88, doi:10.1093/imanum/drab043.

Harder, Paula, and Balázs Kovács. “Error Estimates for the Cahn–Hilliard Equation with Dynamic Boundary Conditions.”10.1093/imanum/drab045__IMA Journal of Numerical Analysis, vol. 42, no. 3, Oxford University Press (OUP), 2021, pp. 2589–620, doi:10.1093/imanum/drab045.

Nick, Jörg, et al. “Correction to: Stable and Convergent Fully Discrete Interior–Exterior Coupling of Maxwell’s Equations.”10.1007/s00211-021-01196-6__Numerische Mathematik, vol. 147, no. 4, Springer Science and Business Media LLC, 2021, pp. 997–1000, doi:10.1007/s00211-021-01196-6.

Kovács, Balázs, et al. “A Convergent Evolving Finite Element Algorithm for Willmore Flow of Closed Surfaces.”10.1007/s00211-021-01238-z__Numerische Mathematik, vol. 149, no. 3, Springer Science and Business Media LLC, 2021, pp. 595–643, doi:10.1007/s00211-021-01238-z.

McLachlan, Robert I., and Christian Offen. “Preservation of Bifurcations of Hamiltonian Boundary Value Problems Under Discretisation.”10.1007/s10208-020-09454-z__Foundations of Computational Mathematics, vol. 20, no. 6, 2020, pp. 1363–400, doi:10.1007/s10208-020-09454-z.

Kreusser, Lisa Maria, et al. “Detection of High Codimensional Bifurcations in Variational PDEs.”10.1088/1361-6544/ab7293__Nonlinearity, vol. 33, no. 5, 2020, pp. 2335–63, doi:10.1088/1361-6544/ab7293.

Flaßkamp, Kathrin, et al. “Symmetry in Optimal Control: A Multiobjective Model Predictive Control Approach.”10.1007/978-3-030-51264-4_9__Advances in Dynamics, Optimization and Computation, edited by Oliver Junge et al., Springer, 2020, doi:10.1007/978-3-030-51264-4_9.

Klus, Stefan, et al. “Kernel-Based Approximation of the Koopman Generator and Schrödinger Operator.”10.3390/e22070722__Entropy, 722, 2020, doi:10.3390/e22070722.

Schütze, Oliver, et al. “Pareto Explorer: A Global/Local Exploration Tool for Many-Objective Optimization Problems.”10.1080/0305215x.2019.1617286__Engineering Optimization, vol. 52, no. 5, 2020, pp. 832–55, doi:10.1080/0305215x.2019.1617286.

Klus, Stefan, et al. “Data-Driven Approximation of the Koopman Generator: Model Reduction, System Identification, and Control.”10.1016/j.physd.2020.132416__Physica D: Nonlinear Phenomena, vol. 406, 132416, 2020, doi:10.1016/j.physd.2020.132416.